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ORCIDVincent S. Tseng
Vincent Shin-Mu Tseng – Shin-Mu Tseng – 曾新穆
Person information
- unicode name: 曾新穆
- affiliation: National Cheng Kung University, Tainan, Taiwan
Other persons with a similar name
- Vincent Tseng
- Vincent W. S. Tseng (aka: Vincent Wen-Sheng Tseng)
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2020 – today
- 2024
[j121]Ling Chen
, Sung-Hao Huang, Tzu-Hsiang Wang, Vincent S. Tseng, Hsuan-Ming Tsao, Gau-Jun Tang:
Automatic 3D left atrial strain extraction framework on cardiac computed tomography. Comput. Methods Programs Biomed. 252: 108236 (2024)- [j120]Benny Wei-Yun Hsu, Vincent S. Tseng:
LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification. J. Heal. Informatics Res. 8(4): 619-639 (2024) - [j119]Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2167-2181 (2024) - [c177]Chun-Ti Chou, Vincent S. Tseng:
Self-Supervised Pulse-Aware Interpretable Disentangled ECG Representation Learning. ICASSP 2024: 7225-7229 - [c176]Yu-Mei Huang, Hui-Nien Hung, Vincent S. Tseng:
Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery. ICASSP 2024: 7470-7474 - [c175]Hui-Ting Lin, Hao Dai, Vincent S. Tseng:
DAT: Dual-Aspect Transformer for Travel Time Prediction. ICCE-Taiwan 2024: 825-826 - [c174]Hui-Ting Lin, Hao Dai, Vincent S. Tseng:
Periodic Stacked Transformer-based Framework for Travel Time Prediction. IJCNN 2024: 1-8 - [c173]Kuan-Hsuan Yung, Josh Jia-Ching Ying, Hui-Ting Lin, Vincent S. Tseng:
Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction. IJCNN 2024: 1-8 - [e22]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - [e21]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - [e20]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - [e19]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - [e18]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - [e17]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - [i9]Tien-Yu Chang, Hao Dai, Vincent S. Tseng:
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series. CoRR abs/2404.00898 (2024) - [i8]Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng:
DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2406.02468 (2024) - [i7]Benny Wei-Yun Hsu, Yu-Ming Chen, Yuan-Han Yang, Vincent S. Tseng:
Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices. CoRR abs/2410.18091 (2024) - 2023
- [j118]Shao-Yu Yin, Yu Huang, Tien-Yu Chang, Shih-Fang Chang, Vincent S. Tseng:
Continual learning with attentive recurrent neural networks for temporal data classification. Neural Networks 158: 171-187 (2023) - [j117]Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng:
PoEMS: Policy Network-Based Early Warning Monitoring System for Sepsis in Intensive Care Units. IEEE J. Biomed. Health Informatics 27(7): 3610-3621 (2023) - [j116]Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6349-6361 (2023) - [i6]Shih-Fang Chang, Benny Wei-Yun Hsu, Tien-Yu Chang, Vincent S. Tseng:
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning. CoRR abs/2302.13571 (2023) - [i5]Ying-Chen Lin, Vincent S. Tseng:
Multi-view knowledge distillation transformer for human action recognition. CoRR abs/2303.14358 (2023) - [i4]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - 2022
- [j115]Chen-Kai Wang, Feng-Duo Wang, You-Qian Lee, Pei-Tsz Chen, Bo-Hong Wang, Chu-Hsien Su, Joseph Chin-Chi Kuo, Chi-Shin Wu, Yi-Ling Chien, Hong-Jie Dai, Vincent S. Tseng, Wen-Lian Hsu:
Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records. IEEE Access 10: 22875-22885 (2022) - [j114]Jerry C. C. Tseng, Sun-Yuan Hsieh, Vincent S. Tseng:
A Scalable Analytical Framework for Complex Event Episode Mining With Various Domains Applications. IEEE Access 10: 130672-130685 (2022) - [j113]Benny Wei-Yun Hsu, Vincent S. Tseng:
Hierarchy-aware contrastive learning with late fusion for skin lesion classification. Comput. Methods Programs Biomed. 216: 106666 (2022) - [j112]Ham Nguyen, Tuong Le, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo:
Mining frequent weighted utility itemsets in hierarchical quantitative databases. Knowl. Based Syst. 237: 107709 (2022) - [j111]Yu Huang, Hao Dai, Vincent S. Tseng:
Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction. Knowl. Based Syst. 258: 109976 (2022) - [j110]Yu Huang, Gary G. Yen, Vincent S. Tseng:
A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification. IEEE J. Biomed. Health Informatics 26(11): 5394-5405 (2022) - [c172]Crystal T. Wei, Ming-En Hsieh, Chien-Liang Liu, Vincent S. Tseng:
Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping. ICASSP 2022: 1126-1130 - [c171]Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung, Vincent S. Tseng:
IPreMom: a continual learning-based image rating framework for infant precious moments capturing. SAC 2022: 1382-1390 - 2021
- [j109]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu:
IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications. IEEE Access 9: 16604-16607 (2021) - [j108]Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng:
Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals. Comput. Methods Programs Biomed. 203: 106035 (2021) - [j107]Jerry Chun-Wei Lin, Gautam Srivastava, Vincent S. Tseng:
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 6(7): 4 (2021) - [j106]Yu Huang, Josh Jia-Ching Ying, Vincent S. Tseng:
Spatio-attention embedded recurrent neural network for air quality prediction. Knowl. Based Syst. 233: 107416 (2021) - [j105]Gautam Srivastava, Jerry Chun-Wei Lin, Xuyun Zhang, Vincent S. Tseng:
Guest Editorial: Artificial Intelligence for Securing Industrial-Based Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17(8): 5738-5741 (2021) - [j104]Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng:
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. ACM Trans. Knowl. Discov. Data 15(1): 3:1-3:32 (2021) - [j103]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1306-1327 (2021) - [c170]Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu:
GAWD: graph anomaly detection in weighted directed graph databases. ASONAM 2021: 143-150 - [c169]Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng:
Stable High Utility Itemset Mining. iiWAS 2021: 296-302 - [e16]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12681, Springer 2021, ISBN 978-3-030-73193-9 [contents] - [e15]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12682, Springer 2021, ISBN 978-3-030-73196-0 [contents] - [e14]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12683, Springer 2021, ISBN 978-3-030-73199-1 [contents] - [i3]Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network for Multi-class Varied-length ECG Early Classification. CoRR abs/2107.13361 (2021) - 2020
- [j102]Li-Ming Tseng, Vincent S. Tseng:
Predicting Ventricular Fibrillation Through Deep Learning. IEEE Access 8: 221886-221896 (2020) - [j101]Vincent S. Tseng, Stephen T. C. Wong, Diane J. Cook, Jiming Liu:
[Guest Editorial]. IEEE Comput. Intell. Mag. 15(4): 8-9 (2020) - [j100]Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu:
Computational Intelligence Techniques for Combating COVID-19: A Survey. IEEE Comput. Intell. Mag. 15(4): 10-22 (2020) - [j99]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Anh Nguyen, Vincent S. Tseng:
Efficient methods for mining weighted clickstream patterns. Expert Syst. Appl. 142 (2020) - [j98]Ja-Hwung Su, Chu-Yu Chin, Yi-Wen Liao, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh:
A Personalized Music Recommender System Using User Contents, Music Contents and Preference Ratings. Vietnam. J. Comput. Sci. 7(1): 77-92 (2020) - [c168]Yu Huang, Chih-Ling Hsu, Vincent S. Tseng:
PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management. BigComp 2020: 358-365 - [c167]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData 2020: 950-956 - [c166]Ji-Hong Cheng, Wen-Chun Liu, Ting-Tsung Chang, Sun-Yuan Hsieh, Vincent S. Tseng:
An Effective and Efficient Algorithm for Detecting Exact Deletion Breakpoints from Viral Next-Generation Sequencing Data. ICS 2020: 147-152 - [e13]Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 [contents] - [i2]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR abs/2011.00447 (2020)
2010 – 2019
- 2019
- [j97]Chien-Liang Liu, Bin Xiao, Wen-Hoar Hsaio, Vincent S. Tseng:
Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks. IEEE Access 7: 170352-170361 (2019) - [j96]Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li, Vincent S. Tseng:
Parallel big image data retrieval by conceptualised clustering and un-conceptualised clustering. Int. J. High Perform. Comput. Netw. 15(1/2): 22-30 (2019) - [j95]Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng:
Mining high-utility itemsets in dynamic profit databases. Knowl. Based Syst. 175: 130-144 (2019) - [j94]Wei-Yun Hsu, Hui-Huang Hsu, Vincent S. Tseng:
Discovering negative comments by sentiment analysis on web forum. World Wide Web 22(3): 1297-1311 (2019) - [c165]Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng:
Mining Emerging High Utility Itemsets over Streaming Database. ADMA 2019: 3-16 - [c164]Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng:
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. ADMA 2019: 389-405 - [c163]Yu-Jhen Chen, Chien-Liang Liu, Vincent S. Tseng, Yu-Feng Hu, Shih-Ann Chen:
Large-scale Classification of 12-lead ECG with Deep Learning. BHI 2019: 1-4 - [c162]Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang:
Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks. BSN 2019: 1-4 - [c161]Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
An Efficient Algorithm for Mining High Utility Quantitative Itemsets. ICDM Workshops 2019: 1005-1012 - [c160]Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng:
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect. PAKDD (2) 2019: 123-135 - [c159]Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture. PAKDD (2) 2019: 253-265 - [c158]En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng:
Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. PAKDD (3) 2019: 541-553 - 2018
- [j93]Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng:
FrauDetector+: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection. ACM Trans. Knowl. Discov. Data 12(6): 68:1-68:35 (2018) - [c157]Ja-Hwung Su, Chu-Yu Chin, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh:
Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings. ACIIDS (1) 2018: 528-538 - [c156]Acquah Hackman, Yu Huang, Vincent S. Tseng:
Mining Trending High Utility Itemsets from Temporal Transaction Databases. DEXA (2) 2018: 461-470 - [c155]Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng:
Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. DSAA 2018: 90-98 - [c154]Yi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng:
Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. ICDM 2018: 1146-1151 - [c153]Chu-Yu Chin, Sun-Yuan Hsieh, Vincent S. Tseng:
Effective Risk Assessment of Type 2 Diabetes Using Diagnostic Information Retrieval. SCIS&ISIS 2018: 200-204 - [c152]Sinya Peng, Vincent S. Tseng, Che-Wei Liang, Man-Kwan Shan:
Emerging Product Topics Prediction in Social Media without Social Structure Information. WWW (Companion Volume) 2018: 1661-1668 - [e12]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10937, Springer 2018, ISBN 978-3-319-93033-6 [contents] - [e11]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10938, Springer 2018, ISBN 978-3-319-93036-7 [contents] - [e10]Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10939, Springer 2018, ISBN 978-3-319-93039-8 [contents] - [i1]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. CoRR abs/1805.10511 (2018) - 2017
- [j92]Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng:
A novel methodology for stock investment using high utility episode mining and genetic algorithm. Appl. Soft Comput. 59: 303-315 (2017) - [j91]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, Chien Lin:
Efficiently mining high utility sequential patterns in static and streaming data. Intell. Data Anal. 21(S1): S103-S135 (2017) - [j90]Ja-Hwung Su, Wei-Yi Chang, Vincent S. Tseng:
Effective social content-based collaborative filtering for music recommendation. Intell. Data Anal. 21(S1): S195-S216 (2017) - [j89]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: a fast and memory efficient algorithm for high-utility itemset mining. Knowl. Inf. Syst. 51(2): 595-625 (2017) - [j88]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently mining uncertain high-utility itemsets. Soft Comput. 21(11): 2801-2820 (2017) - [j87]Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, Vincent S. Tseng:
Mining Sequential Risk Patterns From Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease. IEEE J. Biomed. Health Informatics 21(2): 303-311 (2017) - [j86]Eric Hsueh-Chan Lu, Huan-Sheng Chen, Vincent S. Tseng:
An Efficient Framework for Multirequest Route Planning in Urban Environments. IEEE Trans. Intell. Transp. Syst. 18(4): 869-879 (2017) - [c151]Mun Hou Wong, Vincent S. Tseng, Jerry C. C. Tseng, Sun-Wei Liu, Cheng-Hung Tsai:
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining. ADMA 2017: 582-594 - [c150]Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li, Vincent S. Tseng:
Efficient big image data retrieval using clustering index and parallel computation. iCAST 2017: 182-187 - [c149]Yu Huang, Bo-Hau Lin, Vincent S. Tseng:
Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints. MDM 2017: 228-233 - [c148]Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li:
Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms. PAKDD (Workshops) 2017: 3-14 - [c147]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng:
Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases. PAKDD (1) 2017: 434-446 - [c146]Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen, Vincent S. Tseng:
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset. PAKDD (1) 2017: 654-670 - [c145]Cheng-Hung Tsai, Cheng-Hao Chu, Sun-Wei Liu, Sun-Yuan Hsieh, Vincent S. Tseng:
Mining Life Patterns from Wearable Sensors Data for Elderly Anomaly Detection. TAAI 2017: 66-71 - [c144]Vincent S. Tseng, Chih-Hsin Chou, Kai-Qi Yang, Jerry C. C. Tseng:
A Big Data Analytical Framework for Sports Behavior Mining and Personalized Health Services. TAAI 2017: 178-183 - [e9]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - 2016
- [j85]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Fast algorithms for mining high-utility itemsets with various discount strategies. Adv. Eng. Informatics 30(2): 109-126 (2016) - [j84]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Weighted frequent itemset mining over uncertain databases. Appl. Intell. 44(1): 232-250 (2016) - [j83]Eric Hsueh-Chan Lu, Shih Hsin Fang, Vincent S. Tseng:
Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints. GeoInformatica 20(4): 741-763 (2016) - [j82]Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, Neil Y. Yen:
A GA-based approach for finding appropriate granularity levels of patterns from time series. Int. J. Web Grid Serv. 12(3): 217-239 (2016) - [j81]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining high-utility itemsets in uncertain databases. Knowl. Based Syst. 96: 171-187 (2016) - [j80]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining Top-K High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 28(1): 54-67 (2016) - [j79]Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng, Yonglong Luo, Fulong Chen:
An intelligent recommender system based on predictive analysis in telehealthcare environment. Web Intell. 14(4): 325-336 (2016) - [c143]Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng:
IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment. ADMA 2016: 803-806 - [c142]Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, Vincent S. Tseng:
Mining disease sequential risk patterns from nationwide clinical databases for early assessment of chronic obstructive pulmonary disease. BHI 2016: 324-327 - [c141]Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Chu-Feng Li, Vincent S. Tseng:
A scalable complex event analytical system with incremental episode mining over data streams. CEC 2016: 648-655 - [c140]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi:
Mining Minimal High-Utility Itemsets. DEXA (1) 2016: 88-101 - [c139]Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng:
PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. ICPADS 2016: 1059-1066 - [c138]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets. MLDM 2016: 199-213 - [c137]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
Efficient closed high-utility itemset mining. SAC 2016: 898-900 - [c136]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient Mining of Uncertain Data for High-Utility Itemsets. WAIM (1) 2016: 17-30 - 2015
- [j78]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining up-to-date high-utility patterns. Adv. Eng. Informatics 29(3): 648-661 (2015) - [j77]Yu-Feng Lin, Cheng-Wei Wu, Chien-Feng Huang, Vincent S. Tseng:
Discovering utility-based episode rules in complex event sequences. Expert Syst. Appl. 42(12): 5303-5314 (2015) - [j76]Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng:
Finding Active Membership Functions for Genetic-Fuzzy Data Mining. Int. J. Inf. Technol. Decis. Mak. 14(6): 1215-1242 (2015) - [j75]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 27(3): 726-739 (2015) - [j74]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou:
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Trans. Knowl. Data Eng. 27(8): 2203-2216 (2015) - [j73]Chao-Lin Liu, Mitsunori Matsushita, Yasufumi Takama, Min-Yuh Day, Vincent Shin-Mu Tseng:
Intelligent interaction, reasoning, and applications. Web Intell. 13(2): 91-92 (2015) - [c135]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining Potential High-Utility Itemsets over Uncertain Databases. ASE BD&SI 2015: 25:1-25:6 - [c134]Josh Jia-Ching Ying, Bo-Hau Lin, Vincent S. Tseng, Sun-Yuan Hsieh:
Transfer Learning on High Variety Domains for Activity Recognition. ASE BD&SI 2015: 37:1-37:6 - [c133]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng:
Mining High Utility Sequential Patterns from Evolving Data Streams. ASE BD&SI 2015: 52:1-52:6 - [c132]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining high-utility itemsets with various discount strategies. DSAA 2015: 1-10 - [c131]Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger:
UP-Miner: A Utility Pattern Mining Toolbox. ICDM Workshops 2015: 1656-1659 - [c130]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Hewin: High expected weighted itemset mining in uncertain databases. ICMLC 2015: 439-444 - [c129]Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Vincent S. Tseng:
A Novel Complex-Events Analytical System Using Episode Pattern Mining Techniques. IScIDE (2) 2015: 487-498 - [c128]Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen:
FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection. KDD 2015: 2157-2166 - [c127]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining. MICAI (1) 2015: 530-546 - [c126]Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng:
Efficient Mining of High-Utility Sequential Rules. MLDM 2015: 157-171 - [c125]Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei:
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. PAKDD (1) 2015: 199-211 - [c124]Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, Vincent S. Tseng:
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree. PAKDD (2) 2015: 625-636 - [c123]Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng:
Mining High Utility Itemsets in Big Data. PAKDD (2) 2015: 649-661 - [c122]Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng:
Mining closed+ high utility itemsets without candidate generation. TAAI 2015: 187-194 - [c121]Jerry C. C. Tseng, Bo-Hau Lin, Yu-Feng Lin, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, Kuen-Rong Lo, Yi-Ching Yang:
An interactive healthcare system with personalized diet and exercise guideline recommendation. TAAI 2015: 525-532 - [c120]Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng:
An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients. WI-IAT (3) 2015: 102-105 - 2014
- [j72]Chun-Pei Cheng, I-Ying Kuo, Hakan Alakus, Kelly A. Frazer, Olivier Harismendy, Yi-Ching Wang, Vincent S. Tseng:
Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression. Bioinform. 30(21): 3054-3061 (2014) - [j71]Chun-Pei Cheng, Christopher M. DeBoever, Kelly A. Frazer, Yu-Cheng Liu, Vincent S. Tseng:
MiningABs: mining associated biomarkers across multi-connected gene expression datasets. BMC Bioinform. 15: 173 (2014) - [j70]Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, Vincent S. Tseng:
On-shelf utility mining with negative item values. Expert Syst. Appl. 41(7): 3450-3459 (2014) - [j69]Jia-Ching Ying, Huan-Sheng Chen, Kawuu Weicheng Lin, Eric Hsueh-Chan Lu, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin:
Semantic trajectory-based high utility item recommendation system. Expert Syst. Appl. 41(10): 4762-4776 (2014) - [j68]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
Applying the maximum utility measure in high utility sequential pattern mining. Expert Syst. Appl. 41(11): 5071-5081 (2014) - [j67]Yu-Cheng Liu, Lien-Chin Chen, Chi-Wei Liu, Vincent S. Tseng:
Effective peak alignment for mass spectrometry data analysis using two-phase clustering approach. Int. J. Data Min. Bioinform. 9(1): 52-66 (2014) - [j66]Andy C. Yang, Hui-Huang Hsu, Ming-Da Lu, Vincent S. Tseng, Timothy K. Shih:
Prediction of regulatory gene pairs using dynamic time warping and gene ontology. Int. J. Data Min. Bioinform. 10(2): 121-145 (2014) - [j65]Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng:
A Novel Episode Mining Methodology for Stock Investment. J. Inf. Sci. Eng. 30(3): 571-585 (2014) - [j64]Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng:
SPMF: a Java open-source pattern mining library. J. Mach. Learn. Res. 15(1): 3389-3393 (2014) - [j63]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
An efficient projection-based indexing approach for mining high utility itemsets. Knowl. Inf. Syst. 38(1): 85-107 (2014) - [j62]Josh Jia-Ching Ying, Wen-Ning Kuo, Vincent S. Tseng, Eric Hsueh-Chan Lu:
Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations. ACM Trans. Intell. Syst. Technol. 5(3): 40:1-40:26 (2014) - [c119]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Novel Concise Representations of High Utility Itemsets Using Generator Patterns. ADMA 2014: 30-43 - [c118]Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng:
VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. Canadian AI 2014: 83-94 - [c117]Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou:
Location semantics prediction for living analytics by mining smartphone data. DSAA 2014: 527-533 - [c116]Chia Hua Li, Cheng-Wei Wu, Vincent S. Tseng:
Efficient vertical mining of high utility quantitative itemsets. GrC 2014: 155-160 - [c115]Ja-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying, Vincent S. Tseng:
Semantic content-based music retrieval using audio and fuzzy-music-sense features. GrC 2014: 259-264 - [c114]Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng:
ERMiner: Sequential Rule Mining Using Equivalence Classes. IDA 2014: 108-119 - [c113]Yu-Feng Lin, Pei-Wen Jiang, Vincent S. Tseng:
Efficient Mining of Frequent Target Episodes from Complex Event Sequences. ICS 2014: 501-510 - [c112]Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng:
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning. ISMIS 2014: 83-92 - [c111]Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou, Vincent S. Tseng:
WBPL: An Open-Source Library for Predicting Web Surfing Behaviors. ISMIS 2014: 524-529 - [c110]Shih Hsin Fang, Eric Hsueh-Chan Lu, Vincent S. Tseng:
Trip Recommendation with Multiple User Constraints by Integrating Point-of-Interests and Travel Packages. MDM (1) 2014: 33-42 - [c109]Yu-Feng Lin, Cheng-Hao Chu, Bo-Hau Lin, Yi-Ching Yang, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, Kuen-Rong Lo:
A Framework for Personalized Diet and Exercise Guideline Recommendation. TAAI 2014: 274-283 - [e8]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8443, Springer 2014, ISBN 978-3-319-06607-3 [contents] - [e7]Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao:
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8444, Springer 2014, ISBN 978-3-319-06604-2 [contents] - [e6]Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers. Lecture Notes in Computer Science 8643, Springer 2014, ISBN 978-3-319-13185-6 [contents] - 2013
- [j61]Bai-En Shie, Philip S. Yu, Vincent S. Tseng:
Mining interesting user behavior patterns in mobile commerce environments. Appl. Intell. 38(3): 418-435 (2013) - [j60]Yu-Cheng Liu, Chun-Pei Cheng, Vincent S. Tseng:
Mining differential top-k co-expression patterns from time course comparative gene expression datasets. BMC Bioinform. 14: 230 (2013) - [j59]Chun-Pei Cheng, Yu-Cheng Liu, Yi-Lin Tsai, Vincent S. Tseng:
An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets. BMC Bioinform. 14(S-12): S3 (2013) - [j58]Jess Soo-Fong Tan, Eric Hsueh-Chan Lu, Vincent S. Tseng:
Preference-oriented mining techniques for location-based store search. Knowl. Inf. Syst. 34(1): 147-169 (2013) - [j57]Ming-Hua Hsieh, Kawuu Weicheng Lin, Vincent S. Tseng:
A hybrid scheme for energy-efficient object tracking in sensor networks. Knowl. Inf. Syst. 36(2): 359-384 (2013) - [j56]Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng:
Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments. Knowl. Inf. Syst. 37(2): 363-387 (2013) - [j55]Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong:
Time series pattern discovery by a PIP-based evolutionary approach. Soft Comput. 17(9): 1699-1710 (2013) - [j54]Josh Jia-Ching Ying, Wang-Chien Lee, Vincent S. Tseng:
Mining geographic-temporal-semantic patterns in trajectories for location prediction. ACM Trans. Intell. Syst. Technol. 5(1): 2:1-2:33 (2013) - [j53]Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu:
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases. IEEE Trans. Knowl. Data Eng. 25(8): 1772-1786 (2013) - [c108]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Maximal Sequential Patterns without Candidate Maintenance. ADMA (1) 2013: 169-180 - [c107]Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng:
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction. ADMA (2) 2013: 177-188 - [c106]Ja-Hwung Su, Yi-Cheng Tsai, Vincent S. Tseng:
Empirical analysis of multi-labeling algorithms for music emotion annotation. ICME Workshops 2013: 1-6 - [c105]Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng:
Mining high utility episodes in complex event sequences. KDD 2013: 536-544 - [c104]Ja-Hwung Su, Wei-Yi Chang, Vincent S. Tseng:
Personalized Music Recommendation by Mining Social Media Tags. KES 2013: 303-312 - [c103]Eric Hsueh-Chan Lu, Huan-Sheng Chen, Vincent S. Tseng:
Efficient Approaches for Multi-requests Route Planning in Urban Areas. MDM (1) 2013: 36-45 - [c102]Philippe Fournier-Viger, Vincent S. Tseng:
TNS: mining top-k non-redundant sequential rules. SAC 2013: 164-166 - [c101]Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Bo-Nian Shi, Vincent S. Tseng:
TripCloud: An Intelligent Cloud-Based Trip Recommendation System. SSTD 2013: 472-477 - [c100]Jia-Ching Ying, Bo-Nian Shi, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin:
Preference-Aware Community Detection for Item Recommendation. TAAI 2013: 49-54 - [e5]Daniel Zeng, Christopher C. Yang, Vincent S. Tseng, Chunxiao Xing, Hsinchun Chen, Fei-Yue Wang, Xiaolong Zheng:
Smart Health - International Conference, ICSH 2013, Beijing, China, August 3-4, 2013. Proceedings. Lecture Notes in Computer Science 8040, Springer 2013, ISBN 978-3-642-39843-8 [contents] - [e4]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7818, Springer 2013, ISBN 978-3-642-37452-4 [contents] - [e3]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7819, Springer 2013, ISBN 978-3-642-37455-5 [contents] - [e2]Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7867, Springer 2013, ISBN 978-3-642-40318-7 [contents] - 2012
- [j52]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Fuzzy data mining for time-series data. Appl. Soft Comput. 12(1): 536-542 (2012) - [j51]Bai-En Shie, Philip S. Yu, Vincent S. Tseng:
Efficient algorithms for mining maximal high utility itemsets from data streams with different models. Expert Syst. Appl. 39(17): 12947-12960 (2012) - [j50]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Finding Pareto-front Membership Functions in Fuzzy Data Mining. Int. J. Comput. Intell. Syst. 5(2): 343-354 (2012) - [j49]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy. Int. J. Inf. Technol. Decis. Mak. 11(5): 1009- (2012) - [j48]Ying Liu, Rossi Setchi, Vincent S. Tseng, Feng Chun Wang:
Editorial for the special issue of service computing and service oriented enterprise systems in design, manufacturing and supply chain. J. Intell. Manuf. 23(4): 1327-1329 (2012) - [j47]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Projection-Based Approach for Discovering High Average-Utility Itemsets. J. Inf. Sci. Eng. 28(1): 193-209 (2012) - [j46]Zhongfei Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang, Noshir S. Contractor, Alexander G. Hauptmann, Alejandro Jaimes, Wanqing Li, Alexander C. Loui, Tao Mei, Nicu Sebe, Yonghong Tian, Vincent S. Tseng, Qing Wang, Changsheng Xu, Huimin Yu, Shiwen Yu:
Societally connected multimedia across cultures. J. Zhejiang Univ. Sci. C 13(12): 875-880 (2012) - [j45]Eric Hsueh-Chan Lu, Wang-Chien Lee, Vincent Shin-Mu Tseng:
A Framework for Personal Mobile Commerce Pattern Mining and Prediction. IEEE Trans. Knowl. Data Eng. 24(5): 769-782 (2012) - [c99]Philippe Fournier-Viger, Ted Gueniche, Vincent S. Tseng:
Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction. ADMA 2012: 431-442 - [c98]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Top-K Association Rules. Canadian AI 2012: 61-73 - [c97]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Roger Nkambou:
Mining Sequential Rules Common to Several Sequences with the Window Size Constraint. Canadian AI 2012: 299-304 - [c96]Chun-Pei Cheng, Yi-Lin Tsai, Vincent S. Tseng:
CTGR-Span: Efficient mining of cross-timepoint gene regulation sequential patterns from microarray datasets. BIBM 2012: 1-4 - [c95]Eric Hsueh-Chan Lu, Ching-Yu Chen, Vincent S. Tseng:
Personalized trip recommendation with multiple constraints by mining user check-in behaviors. SIGSPATIAL/GIS 2012: 209-218 - [c94]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
An improved approach for sequential utility pattern mining. GrC 2012: 226-230 - [c93]Ja-Hwung Su, Chun-Yi Kuo, Vincent S. Tseng:
Efficient pattern-based conceptual image retrieval. GrC 2012: 441-446 - [c92]Jia-Ching Ying, Chu-Yu Chin, Vincent S. Tseng:
Mining web navigation patterns with dynamic thresholds for navigation prediction. GrC 2012: 614-619 - [c91]Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Vincent S. Tseng:
Followee recommendation in asymmetrical location-based social networks. UbiComp 2012: 988-995 - [c90]Bai-En Shie, Ji-Hong Cheng, Kun-Ta Chuang, Vincent S. Tseng:
A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. IEA/AIE 2012: 616-626 - [c89]Philippe Fournier-Viger, Vincent S. Tseng:
Mining Top-K Non-redundant Association Rules. ISMIS 2012: 31-40 - [c88]Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, Vincent S. Tseng:
Urban point-of-interest recommendation by mining user check-in behaviors. UrbComp@KDD 2012: 63-70 - [c87]Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu:
Mining top-K high utility itemsets. KDD 2012: 78-86 - [c86]Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng:
A Novel Methodology for Stock Investment Using Episode Mining and Technical Indicators. TAAI 2012: 5-10 - [c85]Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, Vincent S. Tseng, Jin-Shang Wu, Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng:
Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes. TAAI 2012: 27-32 - [c84]I-Hen Tsai, Yu-Feng Lin, Yi-Ching Yang, Vincent S. Tseng:
A Mobile Framework for Personalized Diabetes Telecare. TAAI 2012: 97-102 - [c83]Ja-Hwung Su, Shao-Yu Fu, Vincent S. Tseng:
Effective Music Retrieval by Sequential Pattern-Based Alignment. TAAI 2012: 131-136 - [c82]Yau-Hwang Kuo, Vincent Shin-Mu Tseng, Hung-Yu Kao, Tzung-Pei Hong, Mong-Fong Horng:
TAAI 2012 Preface. TAAI 2012: xi - 2011
- [j44]Yu-Cheng Liu, Chun-Pei Cheng, Vincent S. Tseng:
Discovering relational-based association rules with multiple minimum supports on microarray datasets. Bioinform. 27(22): 3142-3148 (2011) - [j43]Chao-Hui Lee, Jessie Chia-Yu Chen, Vincent S. Tseng:
A novel data mining mechanism considering bio-signal and environmental data with applications on asthma monitoring. Comput. Methods Programs Biomed. 101(1): 44-61 (2011) - [j42]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5): 5851-5857 (2011) - [j41]Lien-Chin Chen, Philip S. Yu, Vincent S. Tseng:
WF-MSB: A weighted fuzzy-based biclustering method for gene expression data. Int. J. Data Min. Bioinform. 5(1): 89-109 (2011) - [j40]Vincent S. Tseng, Hsieh-Hui Yu:
Microarray data classification by multi-information based gene scoring integrated with Gene Ontology. Int. J. Data Min. Bioinform. 5(4): 402-416 (2011) - [j39]Bai-En Shie, Fong-Lin Jang, Vincent S. Tseng:
An Intelligent and Effective Mechanism for Mental Disorder Treatment by Using Biofeedback Analysis and Web Technologies. Int. J. Softw. Eng. Knowl. Eng. 21(1): 55-72 (2011) - [j38]Lien-Chin Chen, Chun-Hao Chen, Hsiao-Ming Chen, Vincent S. Tseng:
Hybrid data mining approaches for prevention of drug dispensing errors. J. Intell. Inf. Syst. 36(3): 305-327 (2011) - [j37]Eric Hsueh-Chan Lu, Wang-Chien Lee, Vincent S. Tseng:
Mining fastest path from trajectories with multiple destinations in road networks. Knowl. Inf. Syst. 29(1): 25-53 (2011) - [j36]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering. Soft Comput. 15(12): 2319-2333 (2011) - [j35]Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng:
Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns. IEEE Trans. Knowl. Data Eng. 23(3): 360-372 (2011) - [j34]Eric Hsueh-Chan Lu, Vincent S. Tseng, Philip S. Yu:
Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments. IEEE Trans. Knowl. Data Eng. 23(6): 914-927 (2011) - [j33]Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng:
Effective Semantic Annotation by Image-to-Concept Distribution Model. IEEE Trans. Multim. 13(3): 530-538 (2011) - [c81]Philippe Fournier-Viger, Vincent S. Tseng:
Mining Top-K Sequential Rules. ADMA (2) 2011: 180-194 - [c80]Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu:
Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. DASFAA (1) 2011: 224-238 - [c79]Show-Jane Yen, Cheng-Wei Wu, Yue-Shi Lee, Vincent S. Tseng, Chaur-Heh Hsieh:
A fast algorithm for mining frequent closed itemsets over stream sliding window. FUZZ-IEEE 2011: 996-1002 - [c78]Josh Jia-Ching Ying, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng:
Semantic trajectory mining for location prediction. GIS 2011: 34-43 - [c77]Josh Jia-Ching Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen, Vincent S. Tseng:
User association analysis of locales on location based social networks. GIS-LBSN 2011: 69-76 - [c76]Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng:
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. ICDM 2011: 824-833 - [c75]Ja-Hwung Su, Ming-Hua Hsieh, Tao Mei, Vincent S. Tseng:
Photosense: Make sense of your photos with enriched harmonic music via emotion association. ICME 2011: 1-6 - [c74]Yu-Cheng Liu, Po-I Chiu, Hsuan-Cheng Huang, Vincent S. Tseng:
Prediction of Essential Genes by Mining Gene Ontology Semantics. ISBRA 2011: 49-60 - [c73]Ja-Hwung Su, Tzu-Shiang Hung, Chun-Jen Lee, Chung-Li Lu, Wei-Lun Chang, Vincent S. Tseng:
Effective Content-Based Music Retrieval with Pattern-Based Relevance Feedback. KES (2) 2011: 285-295 - [c72]Chatschik Bisdikian, Bernhard Mitschang, Dino Pedreschi, Vincent S. Tseng, Claudio Bettini:
Challenges for Mobile Data Management in the Era of Cloud and Social Computing. Mobile Data Management (1) 2011: 6 - [c71]Eric Hsueh-Chan Lu, Chih-Yuan Lin, Vincent S. Tseng:
Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints. Mobile Data Management (1) 2011: 152-161 - [c70]Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng:
Discovering Valuable User Behavior Patterns in Mobile Commerce Environments. PAKDD Workshops 2011: 77-88 - [c69]Philippe Fournier-Viger, Roger Nkambou, Vincent Shin-Mu Tseng:
RuleGrowth: mining sequential rules common to several sequences by pattern-growth. SAC 2011: 956-961 - 2010
- [j32]Kawuu Weicheng Lin, Ming-Hua Hsieh, Vincent S. Tseng:
A novel prediction-based strategy for object tracking in sensor networks by mining seamless temporal movement patterns. Expert Syst. Appl. 37(4): 2799-2807 (2010) - [j31]Ja-Hwung Su, Yu-Ting Huang, Hsin-Ho Yeh, Vincent S. Tseng:
Effective content-based video retrieval using pattern-indexing and matching techniques. Expert Syst. Appl. 37(7): 5068-5085 (2010) - [j30]Cheng-Ping Lai, Pau-Choo Chung, Vincent S. Tseng:
A novel two-level clustering method for time series data analysis. Expert Syst. Appl. 37(9): 6319-6326 (2010) - [j29]Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng:
Music Recommendation Using Content and Context Information Mining. IEEE Intell. Syst. 25(1): 16-26 (2010) - [j28]Bai-En Shie, Fong-Lin Jang, Vincent S. Tseng:
Intelligent panic disorder treatment by using biofeedback analysis and web technologies. Int. J. Bus. Intell. Data Min. 5(1): 77-93 (2010) - [j27]Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Vincent S. Tseng:
Personalized rough-set-based recommendation by integrating multiple contents and collaborative information. Inf. Sci. 180(1): 113-131 (2010) - [c68]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. ACIIDS (2) 2010: 351-358 - [c67]Yu-Cheng Liu, Lien-Chin Chen, Hui-Yin Chang, Hsin-Yi Wu, Pao-Chi Liao, Vincent S. Tseng:
A novel peak alignment method for LC-MS data analysis using cluster-based techniques. BIBM Workshops 2010: 525-530 - [c66]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A SPEA2-based genetic-fuzzy mining algorithm. FUZZ-IEEE 2010: 1-5 - [c65]Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng:
Mining user similarity from semantic trajectories. GIS-LBSN 2010: 19-26 - [c64]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. GrC 2010: 26-27 - [c63]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
A Summary of Genetic-Fuzzy Data Mining Techniques. GrC 2010: 28-29 - [c62]Show-Jane Yen, Yue-Shi Lee, Yu-Chieh Wu, Jia-Ching Ying, Vincent S. Tseng:
Automatic Chinese Text Classification Using N-Gram Model. ICCSA (3) 2010: 458-471 - [c61]Chao-Hui Lee, Vincent S. Tseng:
PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification. ICDM Workshops 2010: 25-32 - [c60]Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng:
Effective image semantic annotation by discovering visual-concept associations from image-concept distribution model. ICME 2010: 42-47 - [c59]Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu:
UP-Growth: an efficient algorithm for high utility itemset mining. KDD 2010: 253-262 - [c58]Bai-En Shie, Vincent S. Tseng, Philip S. Yu:
Online mining of temporal maximal utility itemsets from data streams. SAC 2010: 1622-1626 - [c57]Ja-Hwung Su, Hsin-Ho Yeh, Vincent S. Tseng:
A novel music recommender by discovering preferable perceptual-patterns from music pieces. SAC 2010: 1924-1928
2000 – 2009
- 2009
- [j26]Chun-Jung Chu, Vincent Shin-Mu Tseng, Tyne Liang:
An efficient algorithm for mining high utility itemsets with negative item values in large databases. Appl. Math. Comput. 215(2): 767-778 (2009) - [j25]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining fuzzy frequent trends from time series. Expert Syst. Appl. 36(2): 4147-4153 (2009) - [j24]Vincent S. Tseng, Chao-Hui Lee:
Effective temporal data classification by integrating sequential pattern mining and probabilistic induction. Expert Syst. Appl. 36(5): 9524-9532 (2009) - [j23]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining. Expert Syst. Appl. 36(6): 10016-10024 (2009) - [j22]Cheng-Che Lu, Vincent S. Tseng:
A novel method for personalized music recommendation. Expert Syst. Appl. 36(6): 10035-10044 (2009) - [j21]Vincent S. Tseng, Hsieh-Hui Yu, Shih-Chiang Yang:
Efficient mining of multilevel gene association rules from microarray and gene ontology. Inf. Syst. Frontiers 11(4): 433-447 (2009) - [j20]Vincent S. Tseng, Eric Hsueh-Chan Lu:
Energy-efficient real-time object tracking in multi-level sensor networks by mining and predicting movement patterns. J. Syst. Softw. 82(4): 697-706 (2009) - [j19]Hung-Min Sun, Mu-En Wu, M. Jason Hinek, Cheng-Ta Yang, Vincent S. Tseng:
Trading decryption for speeding encryption in Rebalanced-RSA. J. Syst. Softw. 82(9): 1503-1512 (2009) - [j18]Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
Cluster-based genetic segmentation of time series with DWT. Pattern Recognit. Lett. 30(13): 1190-1197 (2009) - [j17]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Comput. 13(5): 521-533 (2009) - [c56]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Speeding up genetic-fuzzy mining by fuzzy clustering. FUZZ-IEEE 2009: 1695-1699 - [c55]Ja-Hwung Su, Bo-Wen Wang, Hsin-Ho Yeh, Vincent S. Tseng:
Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations. Web Intelligence/IAT Workshops 2009: 425-428 - [c54]Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu:
Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. ICDM Workshops 2009: 338-343 - [c53]Kawuu Weicheng Lin, Ming-Hua Hsieh, Vincent S. Tseng:
Mining Temporal Region-Based Service Patterns for Cooperative Caching in Wireless Multimedia Sensor Networks. IIH-MSP 2009: 1240-1244 - [c52]Guo-Cheng Lan, Chao-Hui Lee, Jin-Shang Wu, Huan-Chung Li, Shing-Hua Ho, Vincent S. Tseng:
A Framework for Personalized Health Trend Analysis. ISPAN 2009: 405-409 - [c51]Eric Hsueh-Chan Lu, Vincent S. Tseng:
Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments. Mobile Data Management 2009: 273-278 - [r1]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. Encyclopedia of Complexity and Systems Science 2009: 4145-4160 - 2008
- [j16]Chun-Jung Chu, Vincent S. Tseng, Tyne Liang:
An efficient algorithm for mining temporal high utility itemsets from data streams. J. Syst. Softw. 81(7): 1105-1117 (2008) - [j15]Vincent S. Tseng, Kawuu Weicheng Lin, Jeng-Chuan Chang:
Prediction of user navigation patterns by mining the temporal web usage evolution. Soft Comput. 12(2): 157-163 (2008) - [j14]Chun-Hao Chen, Vincent S. Tseng, Tzung-Pei Hong:
Cluster-Based Evaluation in Fuzzy-Genetic Data Mining. IEEE Trans. Fuzzy Syst. 16(1): 249-262 (2008) - [j13]Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen:
Integrated Mining of Visual Features, Speech Features, and Frequent Patterns for Semantic Video Annotation. IEEE Trans. Multim. 10(2): 260-267 (2008) - [c50]Vincent S. Tseng, Chao-Hui Lee, Jessie Chia-Yu Chen:
An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care. CBMS 2008: 290-292 - [c49]Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
A cluster-based genetic approach for segmentation of time series and pattern discovery. IEEE Congress on Evolutionary Computation 2008: 1949-1953 - [c48]Vincent S. Tseng, Lee-Cheng Chen, Chao-Hui Lee, Jin-Shang Wu, Yu-Chia Hsu:
Development of a Vital Sign Data Mining System for Chronic Patient Monitoring. CISIS 2008: 649-654 - [c47]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports. FUZZ-IEEE 2008: 1231-1235 - [c46]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen:
A Multi-objective Genetic-fuzzy Mining Algorithm. GrC 2008: 115-120 - [c45]Ja-Hwung Su, Bo-Wen Wang, Vincent S. Tseng:
Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank. Web Intelligence/IAT Workshops 2008: 455-458 - [c44]Vincent S. Tseng, Ja-Hwung Su, Hao-Hua Ku, Bo-Wen Wang:
Intelligent Concept-Oriented and Content-Based Image Retrieval by using data mining and query decomposition techniques. ICME 2008: 1273-1276 - [c43]Vincent S. Tseng, Ming-Hua Hsieh, Kawuu Weicheng Lin:
Mining Region-Based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks. ISDA (3) 2008: 188-196 - [c42]Eric Hsueh-Chan Lu, Chia-Ching Lin, Vincent S. Tseng:
Mining the Shortest Path within a Travel Time Constraint in Road Network Environments. ITSC 2008: 593-598 - [c41]Vincent S. Tseng, Lien-Chin Chen, Ching-Pin Kao:
Constrained Clustering for Gene Expression Data Mining. PAKDD 2008: 759-766 - [c40]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. PAKDD 2008: 864-869 - [c39]Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen:
Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features. PAKDD 2008: 1035-1041 - [c38]Vincent S. Tseng, Kawuu Weicheng Lin, Ming-Hua Hsieh:
Energy Efficient Object Tracking in Sensor Networks by Mining Temporal Moving Patterns. SUTC 2008: 170-176 - [c37]Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang, Hsin-Ho Yeh:
Intelligent Multimedia Recommender by Integrating Annotation and Association Mining. SUTC 2008: 492-499 - [p3]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining Linguistic Trends from Time Series. Data Mining: Foundations and Practice 2008: 49-60 - [p2]Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng:
Fining Active Membership Functions in Fuzzy Data Mining. Data Mining: Foundations and Practice 2008: 179-196 - [e1]Mukesh Doble, William Loging, James Malone, Vincent Shin-Mu Tseng:
International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics, BCBGC-08, Orlando, Florida, USA , July 7-10, 2008. ISRST 2008, ISBN 978-1-60651-002-5 [contents] - 2007
- [j12]Vincent S. Tseng, Kawuu Weicheng Lin:
Energy efficient strategies for object tracking in sensor networks: A data mining approach. J. Syst. Softw. 80(10): 1678-1698 (2007) - [j11]Vincent S. Tseng, Ching-Pin Kao:
A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method. IEEE Trans. Fuzzy Syst. 15(6): 1188-1196 (2007) - [c36]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Congress on Evolutionary Computation 2007: 1-6 - [c35]Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang, Chin-Tai Yu:
Analysis and Prevention of Dispension Errors by Using Data Mining Techniques. CIBCB 2007: 65-70 - [c34]Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu:
Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data. CIBCB 2007: 106-112 - [c33]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining. FOCI 2007: 550-555 - [c32]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. FUZZ-IEEE 2007: 1-6 - [c31]Vincent S. Tseng, Eric Hsueh-Chan Lu, Cheng-Hsien Huang:
Mining temporal mobile sequential patterns in location-based service environments. ICPADS 2007: 1-8 - [c30]Vincent S. Tseng, Ja-Hwung Su, Wei-Jyun Huang:
FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval. IFSA (2) 2007: 141-150 - [c29]Vincent S. Tseng, Ja-Hwung Su, Chih-Jen Chen:
Effective Video Annotation by Mining Visual Features and Speech Features. IIH-MSP 2007: 202-205 - [c28]Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Yu-Ming Lin:
Web image annotation by fusing visual features and textual information. SAC 2007: 1056-1060 - 2006
- [j10]Vincent S. Tseng, Kawuu Weicheng Lin:
Efficient mining and prediction of user behavior patterns in mobile web systems. Inf. Softw. Technol. 48(6): 357-369 (2006) - [j9]Hsieh-Hui Yu, Vincent Shin-Mu Tseng, Jiin-Haur Chuang:
A Multi-information Based Gene Scoring Method for Analysis of Gene Expression Data. Trans. Comp. Sys. Biology 5: 97-111 (2006) - [c27]Tsang-Hsiang Cheng, Chih-Ping Wei, Vincent S. Tseng:
Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches. CBMS 2006: 165-170 - [c26]Vincent S. Tseng, Lien-Chin Chen, Yao-Dung Hsieh:
Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets. CBMS 2006: 177-182 - [c25]Chun-Hao Chen, Tzung-Pei Hong, Vincent Shin-Mu Tseng:
A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends. FUZZ-IEEE 2006: 851-856 - [c24]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions. FUZZ-IEEE 2006: 1411-1416 - [c23]Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong:
Segmentation of Time Series by the Clustering and Genetic Algorithms. ICDM Workshops 2006: 443-447 - [c22]Vincent S. Tseng, Jeng-Chuan Chang, Kawuu Weicheng Lin:
Mining and prediction of temporal navigation patterns for personalized services in e-commerce. SAC 2006: 867-871 - [c21]Vincent S. Tseng, Ching-Pin Kao:
Towards Parameter-less and Similarity-based Fuzzy Clustering based on PCM Method. SMC 2006: 4106-4111 - [p1]Vincent S. Tseng, Yen-Lo Chen:
An Effective Approach for Mining Time-Series Gene Expression Profile. Foundations and Novel Approaches in Data Mining 2006: 363-376 - 2005
- [j8]Hung-Min Sun, Bin-Tsan Hsieh, Shin-Mu Tseng:
On the security of some proxy blind signature schemes. J. Syst. Softw. 74(3): 297-302 (2005) - [j7]Vincent Shin-Mu Tseng, Ching-Pin Kao:
Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method. IEEE ACM Trans. Comput. Biol. Bioinform. 2(4): 355-365 (2005) - [c20]Vincent Shin-Mu Tseng, Kawuu Weicheng Lin:
Mining Sequential Mobile Access Patterns Efficiently in Mobile Web Systems. AINA 2005: 762-767 - [c19]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Analyzing time-series data by fuzzy data-mining technique. GrC 2005: 112-117 - [c18]Vincent Shin-Mu Tseng, Ming-Hsiang Wang, Ja-Hwung Su:
A New Method for Image Classification by Using Multilevel Association Rules. ICDE Workshops 2005: 1180 - [c17]Vincent S. Tseng, Chon-Jei Lee, Ja-Hwung Su:
Classify By Representative Or Associations (CBROA): a hybrid approach for image classification. MDM@KDD 2005: 61-69 - [c16]Vincent Shin-Mu Tseng, Eric Hsueh-Chan Lu, Kawuu Weicheng Lin:
An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks. RTCSA 2005: 305-310 - [c15]Vincent Shin-Mu Tseng, Chao-Hui Lee:
CBS: A New Classification Method by Using Sequential Patterns. SDM 2005: 596-600 - [c14]Vincent Shin-Mu Tseng, Kawuu Weicheng Lin:
Mining Temporal Moving Patterns in Object Tracking Sensor Networks. UDM 2005: 105-112 - 2004
- [j6]I-Heng Meng, Shin-Mu Tseng, Wei-Pang Yang:
Integrated Business Agents for Processing Free Text Information. J. Inf. Sci. Eng. 20(2): 325-347 (2004) - [j5]Vincent Shin-Mu Tseng, Ching-Pin Kao:
An Efficient Approach to Identifying and Validating Clusters in Multivariate Datasets with Applications in Gene Expression Analysis. J. Inf. Sci. Eng. 20(4): 665-677 (2004) - [j4]Shin-Mu Tseng, Ching-Fu Tsui:
Mining multilevel and location-aware service patterns in mobile web environments. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2480-2485 (2004) - [c13]Hsieh-Hui Yu, Vincent Shin-Mu Tseng, Jiin-Haur Chuang:
A Multi-Information based Gene Scoring Model with Applications on Analysis of Hepatocellular Carcinoma. BIBE 2004: 345-350 - [c12]Chien-I Lee, Yu-Chiang Li, Shin-Mu Tseng:
An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes. DASFAA 2004: 457-468 - [c11]Hung-Min Sun, Bin-Tsan Hsieh, Shin-Mu Tseng:
Cryptanalysis of Aydos et al.'s ECC-Based Wireless Authentication Protocol. EEE 2004: 565-568 - [c10]Vincent Shin-Mu Tseng, Ching-Pin Kao:
A Novel Parameter-Less Clustering Method for Mining Gene Expression Data. PAKDD 2004: 692-698 - 2003
- [j3]Shin-Mu Tseng, Kuo-Ho Wang, Chien-I Lee:
A Pre-Processing Method to Deal with Missing Values by Integrating Clustering and Regression Techniques. Appl. Artif. Intell. 17(5-6): 535-544 (2003) - [j2]Shin-Mu Tseng, Ching-Pin Kao:
Mining and Validating Gene Expressions: Integrated Approach and Applications. Informatica (Slovenia) 27(1): 21-28 (2003) - [c9]Shin-Mu Tseng, Ching-Fu Tsui:
An Efficient Method for Mining Associated Service Patterns in Mobile Web Environments. SAC 2003: 455-459 - 2002
- [c8]Vincent Shin-Mu Tseng, Ching-Pin Kao:
Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques. PAKDD 2002: 432-437 - 2001
- [c7]Hong-Ren Chen, Yeh-Hao Chin, Shin-Mu Tseng:
Scheduling value-based transactions in distributed real-time database systems. IPDPS 2001: 94 - 2000
- [c6]Shin-Mu Tseng:
Efficient mining of categorized association rules in large databases. SMC 2000: 3606-3610
1990 – 1999
- 1998
- [c5]Shin-Mu Tseng:
Efficient Mining of Association Rules with Item Constraints. Discovery Science 1998: 423-424 - 1997
- [c4]Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang:
Dynamic Multiprocessor Scheduling for Supporting Real-Time Constraints. ASIAN 1997: 83-97 - [c3]Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang:
An Adaptive Value-Based Scheduling Policy for Multiprocessor Real-Time Database Systems. DEXA Workshop 1997: 254-259 - 1996
- [c2]Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang:
Scheduling Value-Based Transactions in Real-Time Main-Memory Databases. RTDB 1996: 111-117 - 1995
- [c1]Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang:
Scheduling real-time transactions with dynamic values: a performance evaluation. RTCSA 1995: 60-67 - 1993
- [j1]Shin-Mu Tseng, Yeh-Hao Chin:
Prescheduling policy for real-time concurrency control: A performance evaluation. J. Syst. Integr. 3(1): 23-42 (1993)
Coauthor Index
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