Table of Contents

• Learning, Information Extraction and the WebTom M. Mitchell. 1 [doi]
• Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability EstimationPeter A. Flach. 2-3 [doi]
• Mining QueriesRicardo A. Baeza-Yates. 4 [doi]
• Adventures in Personalized Information AccessBarry Smyth. 5 [doi]
• Experiment Databases: Towards an Improved Experimental Methodology in Machine LearningHendrik Blockeel, Joaquin Vanschoren. 6-17 [doi]
• Using the Web to Reduce Data Sparseness in Pattern-Based Information ExtractionSebastian Blohm, Philipp Cimiano. 18-29 [doi]
• A Graphical Model for Content Based Image Suggestion and Feature SelectionSabri Boutemedjet, Djemel Ziou, Nizar Bouguila. 30-41 [doi]
• Efficient AUC Optimization for ClassificationToon Calders, Szymon Jaroszewicz. 42-53 [doi]
• Finding Transport Proteins in a General Protein DatabaseSanmay Das, Milton H. Saier Jr., Charles Elkan. 54-66 [doi]
• Classification of Web Documents Using a Graph-Based Model and Structural PatternsAndrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski. 67-78 [doi]
• Context-Specific Independence Mixture Modelling for Protein FamiliesBenjamin Georgi, Jörg Schultz, Alexander Schliep. 79-90 [doi]
• An Algorithm to Find Overlapping Community Structure in NetworksSteve Gregory. 91-102 [doi]
• Privacy Preserving Market Basket Data AnalysisLing Guo, Songtao Guo, Xintao Wu. 103-114 [doi]
• Feature Extraction from Sensor Data Streams for Real-Time Human Behaviour RecognitionJulia Hunter, Martin Colley. 115-126 [doi]
• Generating Social Network Features for Link-Based ClassificationJun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka. 127-139 [doi]
• An Empirical Comparison of Exact Nearest Neighbour AlgorithmsAshraf M. Kibriya, Eibe Frank. 140-151 [doi]
• Site-Independent Template-Block DetectionAleksander Kolcz, Wen-tau Yih. 152-163 [doi]
• Statistical Model for Rough Set Approach to Multicriteria ClassificationKrzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski. 164-175 [doi]
• Classification of Anti-learnable Biological and Synthetic DataAdam Kowalczyk. 176-187 [doi]
• Improved Algorithms for Univariate Discretization of Continuous FeaturesJussi Kujala, Tapio Elomaa. 188-199 [doi]
• Efficient Weight Learning for Markov Logic NetworksDaniel Lowd, Pedro Domingos. 200-211 [doi]
• Classification in Very High Dimensional Problems with Handfuls of ExamplesMark Palatucci, Tom M. Mitchell. 212-223 [doi]
• Domain Adaptation of Conditional Probability Models Via Feature SubsettingSandeepkumar Satpal, Sunita Sarawagi. 224-235 [doi]
• Learning to Detect Adverse Traffic Events from Noisily Labeled DataTomás Singliar, Milos Hauskrecht. 236-247 [doi]
• IKNN: Informative K-Nearest Neighbor Pattern ClassificationYang Song, Jian Huang 0002, Ding Zhou, Hongyuan Zha, C. Lee Giles. 248-264 [doi]
• Finding Outlying Items in Sets of Partial RankingsAntti Ukkonen, Heikki Mannila. 265-276 [doi]
• Speeding Up Feature Subset Selection Through Mutual Information Relevance FilteringGert Van Dijck, Marc M. Van Hulle. 277-287 [doi]
• A Comparison of Two Approaches to Classify with Guaranteed PerformanceStijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper. 288-299 [doi]
• Towards Data Mining Without Information on Knowledge StructureAlexandre Vautier, Marie-Odile Cordier, Rene Quiniou. 300-311 [doi]
• Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence LabelingGuillaume Wisniewski, Patrick Gallinari. 312-323 [doi]
• Bridged Refinement for Transfer LearningDikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu. 324-335 [doi]
• A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV:::3:::Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang. 336-349 [doi]
• Flexible Grid-Based ClusteringMarc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari. 350-357 [doi]
• Polyp Detection in Endoscopic Video Using SVMsLuís A. Alexandre, João Casteleiro, Nuno Nobreinst. 358-365 [doi]
• A Density-Biased Sampling Technique to Improve Cluster RepresentativenessAna Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.. 366-373 [doi]
• Expectation Propagation for Rating Players in Sports CompetitionsAdriana Birlutiu, Tom Heskes. 374-381 [doi]
• Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract)Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel. 382-389 [doi]
• Discovering Emerging Patterns in Spatial Databases: A Multi-relational ApproachMichelangelo Ceci, Annalisa Appice, Donato Malerba. 390-397 [doi]
• Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket DatabasesColin Cooper, Michele Zito. 398-405 [doi]
• Learning Multi-dimensional Functions: Gas Turbine Engine ModelingChris Drummond. 406-413 [doi]
• Constructing High Dimensional Feature Space for Time Series ClassificationVictor Eruhimov, Vladimir Martyanov, Eugene Tuv. 414-421 [doi]
• A Dynamic Clustering Algorithm for Mobile ObjectsDominique Fournier, Gaële Simon, Bruno Mermet. 422-429 [doi]
• A Method for Multi-relational Classification Using Single and Multi-feature Aggregation FunctionsRichard Frank, Flavia Moser, Martin Ester. 430-437 [doi]
• MINI: Mining Informative Non-redundant ItemsetsArianna Gallo, Tijl De Bie, Nello Cristianini. 438-445 [doi]
• Stream-Based Electricity Load ForecastJoão Gama, Pedro Pereira Rodrigues. 446-453 [doi]
• Automatic Hidden Web Database ClassificationZhiguo Gong, Jingbai Zhang, Qian Liu. 454-461 [doi]
• Pruning Relations for Substructure Discovery of Multi-relational DatabasesHongyu Guo, Herna L. Viktor, Eric Paquet. 462-470 [doi]
• The Most Reliable Subgraph ProblemPetteri Hintsanen. 471-478 [doi]
• Matching Partitions over Time to Reliably Capture Local Clusters in Noisy DomainsFrank Höppner, Mirko Böttcher. 479-486 [doi]
• Searching for Better Randomized Response Schemes for Privacy-Preserving Data MiningZhengli Huang, Wenliang Du, Zhouxuan Teng. 487-497 [doi]
• Pre-processing Large Spatial Data Sets with Bayesian MethodsSaara Hyvönen, Esa Junttila, Marko Salmenkivi. 498-505 [doi]
• Tag Recommendations in FolksonomiesRobert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme. 506-514 [doi]
• Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned DataCihan Kaleli, Huseyin Polat. 515-522 [doi]
• Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic FrameworkHillol Kargupta, Kamalika Das, Kun Liu. 523-531 [doi]
• Multilevel Conditional Fuzzy C-Means Clustering of XML DocumentsMichal Kozielski. 532-539 [doi]
• Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case BuilderFletcher Lu. 540-547 [doi]
• Real Time GPU-Based Fuzzy ART Skin RecognitionMario Martínez-Zarzuela, Francisco Javier Díaz Pernas, David González Ortega, José Fernando Díez Higuera, Miriam Antón-Rodríguez. 548-555 [doi]
• A Cooperative Game Theoretic Approach to Prototype SelectionRamasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty. 556-564 [doi]
• Dynamic Bayesian Networks for Real-Time Classification of Seismic SignalsCarsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum. 565-572 [doi]
• Robust Visual Mining of Data with Error InformationJianyong Sun, Ata Kabán, Somak Raychaudhury. 573-580 [doi]
• An Effective Approach to Enhance Centroid Classifier for Text CategorizationSongbo Tan, Xueqi Cheng. 581-588 [doi]
• Automatic Categorization of Human-Coded and Evolved CoreWar WarriorsNenad Tomasev, Doni Pracner, Milos Radovanovic, Mirjana Ivanovic. 589-596 [doi]
• Utility-Based RegressionLuís Torgo, Rita Ribeiro. 597-604 [doi]
• Multi-label Lazy Associative ClassificationAdriano Veloso, Wagner Meira Jr., Marcos André Gonçalves, Mohammed Javeed Zaki. 605-612 [doi]
• Visual Exploration of Genomic DataMichail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu. 613-620 [doi]
• Association Mining in Large Databases: A Re-examination of Its MeasuresTianyi Wu, Yuguo Chen, Jiawei Han. 621-628 [doi]
• Semantic Text Classification of Emergent Disease ReportsYi Zhang, Bing Liu. 629-637 [doi]