Abstract is missing.
- Optimized Substructure Discovery for Semi-structured DataKenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura, Setsuo Arikawa. 1-14 [doi]
- Fast Outlier Detection in High Dimensional SpacesFabrizio Angiulli, Clara Pizzuti. 15-26 [doi]
- Data Mining in Schizophrenia Research - Preliminary AnalysisStefan Arnborg, Ingrid Agartz, Håkan Hall, Erik Jönsson, Anna Sillén, Göran Sedvall. 27-38 [doi]
- Fast Algorithms for Mining Emerging PatternsJames Bailey, Thomas Manoukian, Kotagiri Ramamohanarao. 39-50 [doi]
- On the Discovery of Weak Periodicities in Large Time SeriesChristos Berberidis, Ioannis P. Vlahavas, Walid G. Aref, Mikhail J. Atallah, Ahmed K. Elmagarmid. 51-61 [doi]
- The Need for Low Bias Algorithms in Classification Learning from Large Data SetsDamien Brain, Geoffrey I. Webb. 62-73 [doi]
- Mining All Non-derivable Frequent ItemsetsToon Calders, Bart Goethals. 74-85 [doi]
- Iterative Data Squashing for Boosting Based on a Distribution-Sensitive DistanceYuta Choki, Einoshin Suzuki. 86-98 [doi]
- Finding Association Rules with Some Very Frequent AttributesFrans Coenen, Paul H. Leng. 99-111 [doi]
- Unsupervised Learning: Self-aggregation in Scaled Principal Component SpaceChris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon. 112-124 [doi]
- A Classification Approach for Prediction of Target Events in Temporal SequencesCarlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma. 125-137 [doi]
- Privacy-Oriented Data Mining by Proof CheckingAmy P. Felty, Stan Matwin. 138-149 [doi]
- Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text ClassificationGeorge Forman. 150-162 [doi]
- Generating Actionable Knowledge by Expert-Guided Subgroup DiscoveryDragan Gamberger, Nada Lavrac. 163-174 [doi]
- Clustering Transactional DataFosca Giannotti, Cristian Gozzi, Giuseppe Manco. 175-187 [doi]
- Multiscale Comparison of Temporal Patternsin Time-Series Medical DatabasesShoji Hirano, Shusaku Tsumoto. 188-199 [doi]
- Association Rules for Expressing Gradual DependenciesEyke Hüllermeier. 200-211 [doi]
- Support Approximations Using Bonferroni-Type InequalitiesSzymon Jaroszewicz, Dan A. Simovici. 212-224 [doi]
- Using Condensed Representations for Interactive Association Rule MiningBaptiste Jeudy, Jean-François Boulicaut. 225-236 [doi]
- Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive BoostingMahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar. 237-249 [doi]
- Dependency Detection in MobiMine and Random MatricesHillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh. 250-262 [doi]
- Long-Term Learning for Web Search EnginesCharles Kemp, Kotagiri Ramamohanarao. 263-274 [doi]
- Spatial Subgroup Mining Integrated in an Object-Relational Spatial DatabaseWilli Klösgen, Michael May. 275-286 [doi]
- Involving Aggregate Functions in Multi-relational SearchArno J. Knobbe, Arno Siebes, Bart Marseille. 287-298 [doi]
- Information Extraction in Structured Documents Using Tree Automata InductionRaymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel. 299-310 [doi]
- Algebraic Techniques for Analysis of Large Discrete-Valued DatasetsMehmet Koyutürk, Ananth Grama, Naren Ramakrishnan. 311-324 [doi]
- Geography of Differences between Two Classes of DataJinyan Li, Limsoon Wong. 325-337 [doi]
- Rule Induction for Classification of Gene Expression Array DataPer Lidén, Lars Asker, Henrik Boström. 338-347 [doi]
- Clustering Ontology-Based Metadata in the Semantic WebAlexander Maedche, Valentin Zacharias. 348-360 [doi]
- Iteratively Selecting Feature Subsets for Mining from High-Dimensional DatabasesHiroshi Mamitsuka. 361-372 [doi]
- SVM Classification Using Sequences of Phonemes and SyllablesGerhard Paass, Edda Leopold, Martha Larson, Jörg Kindermann, Stefan Eickeler. 373-384 [doi]
- A Novel Web Text Mining Method Using the Discrete Cosine TransformLaurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao. 385-396 [doi]
- A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large DatabasesTobias Scheffer, Stefan Wrobel. 397-409 [doi]
- Answering the Most Correlated N Association Rules EfficientlyJun Sese, Shinichi Morishita. 410-422 [doi]
- Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic ModelShusaku Tsumoto. 423-434 [doi]
- Efficiently Mining Approximate Models of Associations in Evolving DatabasesAdriano Veloso, Bruno Gusmão Rocha, Wagner Meira Jr., Márcio de Carvalho, Srinivasan Parthasarathy, Mohammed Javeed Zaki. 435-448 [doi]
- Explaining Predictions from a Neural Network Ensemble One at a TimeRobert Wall, Padraig Cunningham, Paul Walsh. 449-460 [doi]
- Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTDKarsten Winkler, Myra Spiliopoulou. 461-474 [doi]
- Separability Index in Supervised LearningDjamel A. Zighed, Stéphane Lallich, Fabrice Muhlenbach. 475-487 [doi]
- Finding Hidden Factors UsingIndependent Component AnalysisErkki Oja. 488 [doi]
- Reasoning with ClassifiersDan Roth. 489-493 [doi]
- A Kernel Approach for Learning from Almost Orthogonal PatternsBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble. 494-511 [doi]
- Learning with Mixture Models: Concepts and ApplicationsPadhraic Smyth. 512 [doi]