Foundations of Intelligent Systems

Inhaltsverzeichnis

• 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.