Regular Papers -- Self-Similar Layered Hidden Markov Models -- Automatic Text Summarization Using Unsupervised and Semi-supervised Learning -- Detecting Temporal Change in Event Sequences: An Application to Demographic Data -- Knowledge Discovery in Multi-label Phenotype Data -- Computing Association Rules Using Partial Totals -- Gaphyl: A Genetic Algorithms Approach to Cladistics -- Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity -- Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering -- Non-crisp Clustering by Fast, Convergent, and Robust Algorithms -- Pattern Extraction for Time Series Classification -- Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study -- Interesting Fuzzy Association Rules in Quantitative Databases -- Interestingness Measures for Fuzzy Association Rules -- A Data Set Oriented Approach for Clustering Algorithm Selection -- Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection -- Discovery of Temporal Patterns -- Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB -- Using Grammatical Inference to Automate Information Extraction from the Web -- Biological Sequence Data Mining -- Implication-Based Fuzzy Association Rules -- A General Measure of Rule Interestingness -- Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization -- Propositionalisation and Aggregates -- Algorithms for the Construction of Concept Lattices and Their Diagram Graphs -- Data Reduction Using Multiple Models Integration -- Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution -- Sentence Filtering for Information Extraction in Genomics, a Classification Problem -- Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces -- A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory -- Internet Document Filtering Using Fourier Domain Scoring -- Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation -- Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data -- Comparison of Three Objective Functions for Conceptual Clustering -- Identification of ECG Arrhythmias Using Phase Space Reconstruction -- Finding Association Rules That Trade Support Optimally against Confidence -- Bloomy Decision Tree for Multi-objective Classification -- Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction -- Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model -- The TwoKey Plot for Multiple Association Rules Control -- Lightweight Collaborative Filtering Method for Binary-Encoded Data -- Invited Papers -- Support Vectors for Reinforcement Learning -- Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining -- Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining -- The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery -- Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.