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ORCID16th PKDD / 23rd ECML 2012: Bristol, UK
- Peter A. Flach
, Tijl De Bie, Nello Cristianini:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7524, Springer 2012, ISBN 978-3-642-33485-6
Privacy and Security
- Ruilin Liu, Wendy Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo:
AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems. 1-18 - Staal Amund Vinterbo:
Differentially Private Projected Histograms: Construction and Use for Prediction. 19-34 - Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Fairness-Aware Classifier with Prejudice Remover Regularizer. 35-50
Rankings and Recommendations
- Evan Kirshenbaum, George Forman, Michael Dugan:
A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com. 51-66 - Balázs Hidasi, Domonkos Tikk:
Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback. 67-82 - Weiwei Cheng, Eyke Hüllermeier:
Probability Estimation for Multi-class Classification Based on Label Ranking. 83-98
Reinforcement Learning and Planning
- N. Kemal Ure, Alborz Geramifard, Girish Chowdhary, Jonathan P. How:
Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. 99-115 - Riad Akrour, Marc Schoenauer, Michèle Sebag:
APRIL: Active Preference Learning-Based Reinforcement Learning. 116-131 - Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins:
Autonomous Data-Driven Decision-Making in Smart Electricity Markets. 132-147 - Bernard Michini, Jonathan P. How:
Bayesian Nonparametric Inverse Reinforcement Learning. 148-163 - Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. 164-179 - Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. 180-194 - Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman:
Learning Policies for Battery Usage Optimization in Electric Vehicles. 195-210 - Vivek Ramavajjala, Charles Elkan:
Policy Iteration Based on a Learned Transition Model. 211-226 - Abdeslam Boularias, Oliver Krömer, Jan Peters:
Structured Apprenticeship Learning. 227-242
Rule Mining and Subgroup Discovery
- Dominique Gay, Marc Boullé:
A Bayesian Approach for Classification Rule Mining in Quantitative Databases. 243-259 - Iyad Batal, Gregory F. Cooper, Milos Hauskrecht:
A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. 260-276 - Florian Lemmerich, Martin Becker, Martin Atzmueller:
Generic Pattern Trees for Exhaustive Exceptional Model Mining. 277-292
Semi-Supervised and Transductive Learning
- Tomoharu Iwata, Kevin Duh:
Bidirectional Semi-supervised Learning with Graphs. 293-306 - Saurabh Verma, Estevam R. Hruschka Jr.:
Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction. 307-322 - Matan Orbach, Koby Crammer:
Graph-Based Transduction with Confidence. 323-338 - Deguang Kong, Chris H. Q. Ding:
Maximum Consistency Preferential Random Walks. 339-354 - Yuhong Guo, Dale Schuurmans:
Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. 355-370
Sensor Data
- Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren:
MDL-Based Analysis of Time Series at Multiple Time-Scales. 371-386 - Sangkyun Lee, Marco Stolpe, Katharina Morik:
Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. 387-402 - Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski:
Unsupervised Inference of Auditory Attention from Biosensors. 403-418
Sequence and String Mining
- Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey:
A Family of Feed-Forward Models for Protein Sequence Classification. 419-434 - Tomohiro I, Yuki Enokuma, Hideo Bannai, Masayuki Takeda:
General Algorithms for Mining Closed Flexible Patterns under Various Equivalence Relations. 435-450 - Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size Matters: Finding the Most Informative Set of Window Lengths. 451-466
Social Network Mining
- Francesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino:
Discovering Links among Social Networks. 467-482 - Mehdi Kargar, Aijun An, Morteza Zihayat:
Efficient Bi-objective Team Formation in Social Networks. 483-498 - Liaoruo Wang, Stefano Ermon, John E. Hopcroft:
Feature-Enhanced Probabilistic Models for Diffusion Network Inference. 499-514 - Huy Nguyen, Rong Zheng:
Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach. 515-530 - Konstantinos Pelechrinis, Prashant Krishnamurthy:
Location Affiliation Networks: Bonding Social and Spatial Information. 531-547 - Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad:
On Approximation of Real-World Influence Spread. 548-564 - Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Opinion Formation by Voter Model with Temporal Decay Dynamics. 565-580 - Ramasuri Narayanam, Amit Anil Nanavati:
Viral Marketing for Product Cross-Sell through Social Networks. 581-596 - Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang:
Which Topic Will You Follow? 597-612
Spatial and Geographical Data Mining
- Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang:
Inferring Geographic Coincidence in Ephemeral Social Networks. 613-628 - Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel:
Pedestrian Quantity Estimation with Trajectory Patterns. 629-643 - Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu:
Socioscope: Spatio-temporal Signal Recovery from Social Media. 644-659
Statistical Methods and Evaluation
- Gaurav Misra, Behzad Golshan, Evimaria Terzi:
A Framework for Evaluating the Smoothness of Data-Mining Results. 660-675 - Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr:
Active Evaluation of Ranking Functions Based on Graded Relevance. 676-691
Time Series and Temporal Data Mining
- Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. 692-708 - Caio Dias Valentim, Eduardo Sany Laber, David Sotelo:
Data Structures for Detecting Rare Variations in Time Series. 709-724 - Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Invariant Time-Series Classification. 725-740 - Tzu-Kuo Huang, Jeff G. Schneider:
Learning Bi-clustered Vector Autoregressive Models. 741-756
Transfer Learning
- Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Discriminative Factor Alignment across Heterogeneous Feature Space. 757-772 - Nan Li, William W. Cohen, Kenneth R. Koedinger:
Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. 773-788 - Wenhao Jiang, Fu-Lai Chung:
Transfer Spectral Clustering. 789-803
System Demonstrations Track
- Mus'ab Husaini, Ahmet Koçyigit, Dilek Tapucu, Berrin A. Yanikoglu, Yücel Saygin:
An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers. 804-807 - Radek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr:
Association Rule Mining Following the Web Search Paradigm. 808-811 - Andreas Niekler, Patrick Jähnichen, Gerhard Heyer:
ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis. 812-815 - Janez Kranjc, Vid Podpecan, Nada Lavrac:
ClowdFlows: A Cloud Based Scientific Workflow Platform. 816-819 - Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System. 820-823 - Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller:
Knowledge Discovery through Symbolic Regression with HeuristicLab. 824-827 - Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm:
OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. 828-832 - Peter Reutemann, Joaquin Vanschoren:
Scientific Workflow Management with ADAMS. 833-837 - Alexander Hinneburg, Rico Preiss, René Schröder:
TopicExplorer: Exploring Document Collections with Topic Models. 838-841 - Martin Atzmueller, Florian Lemmerich:
VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics. 842-845
Nectar Track
- Maria-Florina Balcan, Nicholas J. A. Harvey:
Learning Submodular Functions. 846-849 - Kristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada:
Matrix Factorization as Search. 850-853 - Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi:
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. 854-857 - Andrew Gordon Wilson, Zoubin Ghahramani:
Modelling Input Varying Correlations between Multiple Responses. 858-861
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