6. PKDD 2002: Helsinki, Finland
Tapio Elomaa, Heikki Mannila, Hannu Toivonen (Eds.): Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings. Springer 2002 Lecture Notes in Computer Science ISBN 3-540-44037-2
Contributed Papers
- Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura, Setsuo Arikawa: Optimized Substructure Discovery for Semi-structured Data. 1-14
- Stefan Arnborg, Ingrid Agartz, Håkan Hall, Erik Jönsson, Anna Sillén, Göran Sedvall: Data Mining in Schizophrenia Research - Preliminary Analysis. 27-38
- James Bailey, Thomas Manoukian, Kotagiri Ramamohanarao: Fast Algorithms for Mining Emerging Patterns. 39-50
- Christos Berberidis, Ioannis P. Vlahavas, Walid G. Aref, Mikhail J. Atallah, Ahmed K. Elmagarmid: On the Discovery of Weak Periodicities in Large Time Series. 51-61
- Damien Brain, Geoffrey I. Webb: The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. 62-73
- Yuta Choki, Einoshin Suzuki: Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance. 86-98
- Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon: Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. 112-124
- Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma: A Classification Approach for Prediction of Target Events in Temporal Sequences. 125-137
- George Forman: Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification. 150-162
- Dragan Gamberger, Nada Lavrac: Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. 163-174
- Shoji Hirano, Shusaku Tsumoto: Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. 188-199
- Eyke Hüllermeier: Association Rules for Expressing Gradual Dependencies. 200-211
- Szymon Jaroszewicz, Dan A. Simovici: Support Approximations Using Bonferroni-Type Inequalities. 212-224
- Baptiste Jeudy, Jean-François Boulicaut: Using Condensed Representations for Interactive Association Rule Mining. 225-236
- Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar: Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting. 237-249
- Hillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh: Dependency Detection in MobiMine and Random Matrices. 250-262
- Willi Klösgen, Michael May: Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database. 275-286
- Arno J. Knobbe, Arno Siebes, Bart Marseille: Involving Aggregate Functions in Multi-relational Search. 287-298
- Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel: Information Extraction in Structured Documents Using Tree Automata Induction. 299-310
- Mehmet Koyutürk, Ananth Grama, Naren Ramakrishnan: Algebraic Techniques for Analysis of Large Discrete-Valued Datasets. 311-324
- Per Lidén, Lars Asker, Henrik Boström: Rule Induction for Classification of Gene Expression Array Data. 338-347
- Alexander Maedche, Valentin Zacharias: Clustering Ontology-Based Metadata in the Semantic Web. 348-360
- Hiroshi Mamitsuka: Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases. 361-372
- Gerhard Paass, Edda Leopold, Martha Larson, Jörg Kindermann, Stefan Eickeler: SVM Classification Using Sequences of Phonemes and Syllables. 373-384
- Laurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao: A Novel Web Text Mining Method Using the Discrete Cosine Transform. 385-396
- Tobias Scheffer, Stefan Wrobel: A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. 397-409
- Jun Sese, Shinichi Morishita: Answering the Most Correlated N Association Rules Efficiently. 410-422
- Shusaku Tsumoto: Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model. 423-434
- Adriano Veloso, Bruno Gusmão Rocha, Wagner Meira Jr., Márcio de Carvalho, Srinivasan Parthasarathy, Mohammed Javeed Zaki: Efficiently Mining Approximate Models of Associations in Evolving Databases. 435-448
- Robert Wall, Padraig Cunningham, Paul Walsh: Explaining Predictions from a Neural Network Ensemble One at a Time. 449-460
- Karsten Winkler, Myra Spiliopoulou: Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD. 461-474
- Djamel A. Zighed, Stéphane Lallich, Fabrice Muhlenbach: Separability Index in Supervised Learning. 475-487
Invited Papers
- Erkki Oja: Finding Hidden Factors UsingIndependent Component Analysis. 488
- Dan Roth: Reasoning with Classifiers. 489-493
- Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. 494-511
- Padhraic Smyth: Learning with Mixture Models: Concepts and Applications. 512
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