Table of Contents

• On Temporal Evolution in Data StreamsCharu C. Aggarwal. 1 [doi]
• The Future of CiteSeer: CiteSeer:::::::x:::::::C. Lee Giles. 2 [doi]
• Learning to Have FunJonathan Schaeffer. 3 [doi]
• Winning the DARPA Grand ChallengeSebastian Thrun. 4 [doi]
• Challenges of Urban SensingHenry Tirri. 5 [doi]
• SD-Map - A Fast Algorithm for Exhaustive Subgroup DiscoveryMartin Atzmüller, Frank Puppe. 6-17 [doi]
• Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional GenomicsHendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare. 18-29 [doi]
• Clustering Scientific Literature Using Sparse Citation Graph AnalysisLevent Bolelli, Seyda Ertekin, C. Lee Giles. 30-41 [doi]
• VOGUE: A Novel Variable Order-Gap State Machine for Modeling SequencesBouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski, Mohammed Javeed Zaki. 42-54 [doi]
• Don t Be Afraid of Simpler PatternsBjörn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen. 55-66 [doi]
• An Adaptive Prequential Learning Framework for Bayesian Network ClassifiersGladys Castillo, João Gama. 67-78 [doi]
• Adaptive Active Classification of Cell Assay ImagesNicolas Cebron, Michael R. Berthold. 79-90 [doi]
• Learning Parameters in Entity Relationship Graphs from Ranking PreferencesSoumen Chakrabarti, Alekh Agarwal. 91-102 [doi]
• Detecting Fraudulent Personalities in Networks of Online AuctioneersDuen Horng Chau, Shashank Pandit, Christos Faloutsos. 103-114 [doi]
• Measuring Constraint-Set Utility for Partitional Clustering AlgorithmsIan Davidson, Kiri Wagstaff, Sugato Basu. 115-126 [doi]
• Discovery of Interesting Regions in Spatial Data Sets Using Supervised ClusteringChristoph F. Eick, Banafsheh Vaezian, Dan Jiang, Jing Wang. 127-138 [doi]
• Optimal String Mining Under Frequency ConstraintsJohannes Fischer, Volker Heun, Stefan Kramer. 139-150 [doi]
• ::::k::::-Anonymous Decision Tree InductionArik Friedman, Assaf Schuster, Ran Wolff. 151-162 [doi]
• Closed Sets for Labeled DataGemma C. Garriga, Petra Kralj, Nada Lavrac. 163-174 [doi]
• Finding Trees from Unordered 0-1 DataHannes Heikinheimo, Heikki Mannila, Jouni K. Seppänen. 175-186 [doi]
• Web Communities Identification from Random WalksJiayuan Huang, Tingshao Zhu, Dale Schuurmans. 187-198 [doi]
• Information Marginalization on SubgraphsJiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans. 199-210 [doi]
• Why Does Subsequence Time-Series Clustering Produce Sine Waves?Tsuyoshi Idé. 211-222 [doi]
• Transductive Learning for Text Classification Using Explicit Knowledge ModelsGeorgiana Ifrim, Gerhard Weikum. 223-234 [doi]
• Exploring Multiple Communities with Kernel-Based Link AnalysisTakahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto. 235-246 [doi]
• Distribution Rules with Numeric Attributes of InterestAlípio Mário Jorge, Paulo J. Azevedo, Fernando Pereira. 247-258 [doi]
• Tractable Models for Information Diffusion in Social NetworksMasahiro Kimura, Kazumi Saito. 259-271 [doi]
• Efficient Spatial Classification Using Decoupled Conditional Random FieldsChi-Hoon Lee, Russell Greiner, Osmar R. Zaïane. 272-283 [doi]
• Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia DataJessica Lin, Eamonn J. Keogh. 284-296 [doi]
• An Attacker s View of Distance Preserving Maps for Privacy Preserving Data MiningKun Liu, Chris Giannella, Hillol Kargupta. 297-308 [doi]
• A Scalable Distributed Stream Mining System for Highway Traffic DataYing Liu, Alok N. Choudhary, Jianhong Zhou, Ashfaq A. Khokhar. 309-321 [doi]
• K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality MaintenancePanagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis. 322-334 [doi]
• The Discrete Basis ProblemPauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila. 335-346 [doi]
• Evaluation of Summarization Schemes for Learning in StreamsAlec Pawling, Nitesh V. Chawla, Amitabh Chaudhary. 347-358 [doi]
• Efficient Mining of Correlation Patterns in Spatial Point DataMarko Salmenkivi. 359-370 [doi]
• Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced SubgraphsDuygu Ucar, Sitaram Asur, Ümit V. Çatalyürek, Srinivasan Parthasarathy. 371-382 [doi]
• Refining Aggregate Conditions in Relational LearningCeline Vens, Jan Ramon, Hendrik Blockeel. 383-394 [doi]
• Measuring to Fit: Virtual Tailoring Through Cluster Analysis and ClassificationHerna L. Viktor, Eric Paquet, Hongyu Guo. 395-406 [doi]
• RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension ReorderingsMichail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu. 407-420 [doi]
• Distributed Subgroup MiningMichael Wurst, Martin Scholz. 421-433 [doi]
• Network Flow for Collaborative RankingZiming Zhuang, Silviu Cucerzan, C. Lee Giles. 434-445 [doi]
• Finding Hierarchies of Subspace ClustersElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek. 446-453 [doi]
• Integrating Pattern Mining in Relational DatabasesToon Calders, Bart Goethals, Adriana Prado. 454-461 [doi]
• Discovering Patterns in Real-Valued Time SeriesJoe Catalano, Tom Armstrong, Tim Oates. 462-469 [doi]
• Classification of Dementia Types from Cognitive Profiles DataGiorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon. 470-477 [doi]
• When Efficient Model Averaging Out-Performs Boosting and BaggingIan Davidson, Wei Fan. 478-486 [doi]
• Peak-Jumping Frequent Itemset Mining AlgorithmsNele Dexters, Paul W. Purdom, Dirk Van Gucht. 487-494 [doi]
• Autonomous VisualizationKhalid El-Arini, Andrew W. Moore, Ting Liu. 495-502 [doi]
• Naive Bayes for Text Classification with Unbalanced ClassesEibe Frank, Remco R. Bouckaert. 503-510 [doi]
• Knowledge-Conscious Data ClusteringAmol Ghoting, Srinivasan Parthasarathy. 511-519 [doi]
• On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data MiningSongtao Guo, Xintao Wu, Yingjiu Li. 520-527 [doi]
• Frequent Pattern Discovery Without Binarization: Mining Attribute ProfilesAttila Gyenesei, Ralph Schlapbach, Etzard Stolte, Ulrich Wagner. 528-535 [doi]
• Efficient Name Disambiguation for Large-Scale DatabasesJian Huang 0002, Seyda Ertekin, C. Lee Giles. 536-544 [doi]
• Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance MeasuresBernard Hugueney. 545-552 [doi]
• A Feature Generation Algorithm for Sequences with Application to Splice-Site PredictionRezarta Islamaj Dogan, Lise Getoor, W. John Wilbur. 553-560 [doi]
• Discovering Image-Text Associations for Cross-Media Web Information FusionTao Jiang, Ah-Hwee Tan. 561-568 [doi]
• Mining Sequences of Temporal IntervalsSteffen Kempe, Jochen Hipp. 569-576 [doi]
• Pattern TeamsArno J. Knobbe, Eric K. Y. Ho. 577-584 [doi]
• Compression Picks Item Sets That MatterMatthijs van Leeuwen, Jilles Vreeken, Arno Siebes. 585-592 [doi]
• Discovering Overlapping Communities of Named EntitiesXin Li, Bing Liu, Philip S. Yu. 593-600 [doi]
• Closed Non-derivable ItemsetsJuho Muhonen, Hannu Toivonen. 601-608 [doi]
• Learning a Distance Metric for Object Identification Without Human SupervisionSatoshi Oyama, Katsumi Tanaka. 609-616 [doi]
• Towards Association Rules with Hidden VariablesRicardo Silva, Richard Scheines. 617-624 [doi]
• A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive IndustryChristian Manuel Strobel, Tomas Hrycej. 625-632 [doi]
• Incremental Aspect Models for Mining Document StreamsArun C. Surendran, Suvrit Sra. 633-640 [doi]
• Learning Approximate MRFs from Large Transaction DataChao Wang, Srinivasan Parthasarathy. 641-649 [doi]
• Similarity Search for Multi-dimensional NMR-Spectra of Natural ProductsKarina Wolfram, Andrea Porzel, Alexander Hinneburg. 650-658 [doi]