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ORCID6th PKDD 2002: Helsinki, Finland
- Tapio Elomaa, Heikki Mannila, Hannu Toivonen:
Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2431, Springer 2002, 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 - Fabrizio Angiulli, Clara Pizzuti:
Fast Outlier Detection in High Dimensional Spaces. 15-26 - 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 - Toon Calders, Bart Goethals:
Mining All Non-derivable Frequent Itemsets. 74-85 - Yuta Choki, Einoshin Suzuki:
Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance. 86-98 - Frans Coenen, Paul H. Leng:
Finding Association Rules with Some Very Frequent Attributes. 99-111 - 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 - Amy P. Felty, Stan Matwin:
Privacy-Oriented Data Mining by Proof Checking. 138-149 - 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 - Fosca Giannotti, Cristian Gozzi, Giuseppe Manco:
Clustering Transactional Data. 175-187 - 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 - Charles Kemp, Kotagiri Ramamohanarao:
Long-Term Learning for Web Search Engines. 263-274 - 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 - Jinyan Li, Limsoon Wong:
Geography of Differences between Two Classes of Data. 325-337 - 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 A. Larson, Jörg Kindermann, Stefan Eickeler:
SVM Classification Using Sequences of Phonemes and Syllables. 373-384 - Laurence Anthony 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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