Invited Papers -- Methodologies for Automated Telephone Answering -- Anomaly Detection in Computer Security and an Application to File System Accesses -- Regular Papers -- A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries -- Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling -- Learning Profiles Based on Hierarchical Hidden Markov Model -- Statistical Independence from the Viewpoint of Linear Algebra -- Bitmap Index-Based Decision Trees -- On Automatic Modeling and Use of Domain-Specific Ontologies -- Using Self-Adaptable Probes for Dynamic Parameter Control of Parallel Evolutionary Algorithms -- Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble -- Mining the Semantic Web: A Logic-Based Methodology -- Analysis of Textual Data with Multiple Classes -- SARM — Succinct Association Rule Mining: An Approach to Enhance Association Mining -- Learning the Daily Model of Network Traffic -- ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams -- Failing Queries in Distributed Autonomous Information System -- Evaluation of Two Systems on Multi-class Multi-label Document Classification -- Uncertain Knowledge Gathering: An Evolutionary Approach -- Duality in Knowledge Compilation Techniques -- Data Protection in Distributed Database Systems -- A Softened Formulation of Inductive Learning and Its Use for Coronary Disease Data -- Subsystem Based Generalizations of Rough Set Approximations -- Model-Based Cluster Analysis for Web Users Sessions -- On Autonomous k-Means Clustering -- CSI: Clustered Segment Indexing for Efficient Approximate Searching on the Secondary Structure of Protein Sequences -- Using Supervised Clustering to Enhance Classifiers -- Modelling Good Entry Pages on the Web -- A Query Expression and Processing Technique for an XML Search Engine -- Adapting the Object Role Modelling Method for Ontology Modelling -- Identifying Content Blocks from Web Documents -- Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach -- Normal Forms for Knowledge Compilation -- On the Approximate Division of Fuzzy Relations -- Efficient Learning of Pseudo-Boolean Functions from Limited Training Data -- Discovering Partial Periodic Sequential Association Rules with Time Lag in Multiple Sequences for Prediction -- Mining and Filtering Multi-level Spatial Association Rules with ARES -- Association Reducts: A Framework for Mining Multi-attribute Dependencies -- Frequent Pattern Mining with Preferences–Utility Functions Approach -- Semantic-Based Access to Digital Document Databases -- Statistical Database Modeling for Privacy Preserving Database Generation -- Scalable Inductive Learning on Partitioned Data -- Agent-Based Home Simulation and Control -- Aggregates and Preferences in Logic Programming -- The Chisholm Paradox and the Situation Calculus -- A Logic Approach for LTL System Modification -- Anticipatory Agents Based on Anticipatory Reasoning -- Extracting Emotions from Music Data -- An Intelligent System for Assisting Elderly People -- Multi-strategy Instance Selection in Mining Chronic Hepatitis Data -- A Probabilistic Approach to Finding Geometric Objects in Spatial Datasets of the Milky Way -- Towards Ad-Hoc Rule Semantics for Gene Expression Data -- Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming -- Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis -- Some Theoretical Properties of Mutual Information for Student Assessments in Intelligent Tutoring Systems -- Cooperative Query Answering for RDF -- Intelligent Information Retrieval for Web-Based Design Data Repository -- Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms -- A Distance-Based Algorithm for Clustering Database User Sessions -- User-Interest-Based Document Filtering via Semi-supervised Clustering -- A Filter Feature Selection Method for Clustering -- Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation -- Experimental Analysis of the Q-Matrix Method in Knowledge Discovery -- Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching -- Efficient Causal Interaction Learning with Applications in Microarray -- A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition -- Catching the Picospams -- Personalized Peer Filtering for a Dynamic Information Push -- Getting Computers to See Information Graphics So Users Do Not Have to -- A Data Model Based on Paraconsistent Intuitionistic Fuzzy Relations -- Logical Data Independence Reconsidered (Extended Abstract) -- Estimation of the Density of Datasets with Decision Diagrams.