Abstract is missing.
- Self-Similar Layered Hidden Markov ModelsJafar Adibi, Wei-Min Shen. 1-15 [doi]
- Automatic Text Summarization Using Unsupervised and Semi-supervised LearningMassih-Reza Amini, Patrick Gallinari. 16-28 [doi]
- Detecting Temporal Change in Event Sequences: An Application to Demographic DataHendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari. 29-41 [doi]
- Knowledge Discovery in Multi-label Phenotype DataAmanda Clare, Ross D. King. 42-53 [doi]
- Computing Association Rules Using Partial TotalsFrans Coenen, Graham Goulbourne, Paul H. Leng. 54-66 [doi]
- Gaphyl: A Genetic Algorithms Approach to CladisticsClare Bates Congdon. 67-78 [doi]
- Parametric Approximation Algorithms for High-Dimensional Euclidean SimilarityÖmer Egecioglu. 79-90 [doi]
- Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal ClusteringVladimir Estivill-Castro, Michael E. Houle. 91-102 [doi]
- Non-crisp Clustering by Fast, Convergent, and Robust AlgorithmsVladimir Estivill-Castro, Jianhua Yang. 103-114 [doi]
- Pattern Extraction for Time Series ClassificationPierre Geurts. 115-127 [doi]
- Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case StudyFosca Giannotti, Giuseppe Manco, Franco Turini. 128-139 [doi]
- Interesting Fuzzy Association Rules in Quantitative DatabasesJeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman. 140-151 [doi]
- Interestingness Measures for Fuzzy Association RulesAttila Gyenesei. 152-164 [doi]
- A Data Set Oriented Approach for Clustering Algorithm SelectionMaria Halkidi, Michalis Vazirgiannis. 165-179 [doi]
- Fusion of Meta-knowledge and Meta-data for Case-Based Model SelectionMelanie Hilario, Alexandros Kalousis. 180-191 [doi]
- Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time SeriesFrank Höppner. 192-203 [doi]
- Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDBRie Honda, Osamu Konishi. 204-215 [doi]
- Using Grammatical Inference to Automate Information Extraction from the WebTheodore W. Hong, Keith L. Clark. 216-227 [doi]
- Biological Sequence Data MiningYuh-Jyh Hu. 228-240 [doi]
- Implication-Based Fuzzy Association RulesEyke Hüllermeier. 241-252 [doi]
- A General Measure of Rule InterestingnessSzymon Jaroszewicz, Dan A. Simovici. 253-265 [doi]
- Error Correcting Codes with Optimized Kullback-Leibler Distances for Text CategorizationJörg Kindermann, Gerhard Paass, Edda Leopold. 266-276 [doi]
- Propositionalisation and AggregatesArno J. Knobbe, Marc de Haas, Arno Siebes. 277-288 [doi]
- Algorithms for the Construction of Concept Lattices and Their Diagram GraphsSergei O. Kuznetsov, Sergei A. Obiedkov. 289-300 [doi]
- Data Reduction Using Multiple Models IntegrationAleksandar Lazarevic, Zoran Obradovic. 301-313 [doi]
- Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolutionRoberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola. 314-325 [doi]
- Sentence Filtering for Information Extraction in Genomics, a Classification ProblemClaire Nedellec, Mohamed Ould Abdel Vetah, Philippe Bessières. 326-337 [doi]
- Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean SpacesJörg Ontrup, Helge Ritter. 338-349 [doi]
- A Study on the Hierarchical Data Clustering Algorithm Based on Gravity TheoryYen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang. 350-361 [doi]
- Internet Document Filtering Using Fourier Domain ScoringLaurence A. F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao. 362-373 [doi]
- Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain ActivationFrancisco Pereira, Marcel Just, Tom M. Mitchell. 374-385 [doi]
- Automatic Construction and Refinement of a Class Hierarchy over Multi-valued DataNathalie Pernelle, Marie-Christine Rousset, Véronique Ventos. 386-398 [doi]
- Comparison of Three Objective Functions for Conceptual ClusteringCéline Robardet, Fabien Feschet. 399-410 [doi]
- Identification of ECG Arrhythmias Using Phase Space ReconstructionFelice M. Roberts, Richard J. Povinelli, Kristina M. Ropella. 411-423 [doi]
- Finding Association Rules That Trade Support Optimally against ConfidenceTobias Scheffer. 424-435 [doi]
- Bloomy Decision Tree for Multi-objective ClassificationEinoshin Suzuki, Masafumi Gotoh, Yuta Choki. 436-447 [doi]
- Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule InductionShusaku Tsumoto. 448-459 [doi]
- Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set ModelShusaku Tsumoto. 460-471 [doi]
- The TwoKey Plot for Multiple Association Rules ControlAntony Unwin, Heike Hofmann, Klaus Bernt. 472-483 [doi]
- Lightweight Collaborative Filtering Method for Binary-Encoded DataSholom M. Weiss, Nitin Indurkhya. 484-491 [doi]
- Support Vectors for Reinforcement LearningThomas G. Dietterich, Xin Wang. 492 [doi]
- Combining Discrete Algorithmic and Probabilistic Approaches in Data MiningHeikki Mannila. 493 [doi]
- Statistification or Mystification? The Need for Statistical Thought in Visual Data MiningAntony Unwin. 494 [doi]
- The Musical Expression Project: A Challenge for Machine Learning and Knowledge DiscoveryGerhard Widmer. 495-506 [doi]
- Scalability, Search, and Sampling: From Smart Algorithms to Active DiscoveryStefan Wrobel. 507 [doi]