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Foundations of Intelligent Systems

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This volume contains the papers selected for presentation at the 17th Inter- tional Symposium on Methodologies for Intelligent Systems (ISMIS 2008), held in York University, Toronto, Canada, May 21-23, 2008. ISMIS is a conference series started in 1986. Held twice every three years, ISMIS provides an inter- tional forum for exchanging scienti?c research and technological achievements in building intelligent systems. Its goal is to achieve a vibrant interchange - tween researchers and practitioners on fundamental and advanced issues related to intelligent systems. ISMIS 2008featureda selectionof latestresearchworkandapplicationsfrom the following areas related to intelligent systems: active media human-computer interaction, autonomic and evolutionary computation, digital libraries, intel- gent agent technology, intelligent information retrieval, intelligent information systems, intelligent language processing, knowledge representation and integ- tion, knowledge discovery and data mining, knowledge visualization, logic for arti?cial intelligence, soft computing, Web intelligence, and Web services. - searchers and developers from 29 countries submitted more than 100 full - pers to the conference. Each paper was rigorously reviewed by three committee members and external reviewers. Out of these submissions, 40% were selected as regular papers and 22% as short papers. ISMIS 2008 also featured three plenary talks given by John Mylopoulos, Jiawei Han and Michael Lowry. They spoke on their recent research in age- oriented software engineering, information network mining, and intelligent so- ware engineering tools, respectively.


Invited Papers.- From Goals to High-Variability Software Design.- Exploring the Power of Heuristics and Links in Multi-relational Data Mining.- Intelligent Software Engineering Tools for NASA's Crew Exploration Vehicle.- Knowledge Discovery and Data Mining - Foundations.- Boosting Support Vector Machines for Imbalanced Data Sets.- Class-Oriented Reduction of Decision Tree Complexity.- Evaluating Decision Trees Grown with Asymmetric Entropies.- Stepwise Induction of Logistic Model Trees.- Stochastic Propositionalization for Efficient Multi-relational Learning.- Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient.- Knowledge Discovery and Data Mining - Advances.- Obtaining Low-Arity Discretizations from Online Data Streams.- Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets.- Mining Induced and Embedded Subtrees in Ordered, Unordered, and Partially-Ordered Trees.- A Structure-Based Clustering on LDAP Directory Information.- iZi: A New Toolkit for Pattern Mining Problems.- A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases.- LAREDAM - Considerations on System of Local Analytical Reports from Data Mining.- Outlier Detection Techniques for Process Mining Applications.- Knowledge Discovery and Data Mining - Mining Changes and Actionable Patterns.- Action Rule Extraction from a Decision Table: ARED.- Discovering the Concise Set of Actionable Patterns.- Discovering Emerging Patterns for Anomaly Detection in Network Connection Data.- Temporal Extrapolation within a Static Clustering.- Discovering Explanations from Longitudinal Data.- Logic for Artificial Intelligence.- Reduced Implicate/Implicant Tries.- Golden Ratio Annealing for Satisfiability Problems Using Dynamically Cooling Schemes.- Modeling Cooperation in P2P Data Management Systems.- Interactions between Rough Parts in Object Perception.- Autonomic and Evolutionary Computation.- A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time.- Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Gastric and Liver Cancer Databases: An Evolutionary Computation Approach.- Self-calibrating Strategies for Evolutionary Approaches that Solve Constrained Combinatorial Problems.- Soft Computing.- Towards Fuzzy Query Answering Using Fuzzy Views - A Graded-Subsumption-Based Approach.- Term Distribution-Based Initialization of Fuzzy Text Clustering.- Cooperative Answering to Flexible Queries Via a Tolerance Relation.- Effectiveness of Fuzzy Discretization for Class Association Rule-Based Classification.- Towards a Crisp Representation of Fuzzy Description Logics under ?ukasiewicz Semantics.- Rough Set Approximations in Formal Concept Analysis and Knowledge Spaces.- An Ant Colony System Algorithm to Solve Routing Problems Applied to the Delivery of Bottled Products.- Databases and Data Warehouses.- Predicate Indexing for Incremental Multi-Query Optimization.- SQL Queries with CASE Expressions.- Top-Down Compression of Data Cubes in the Presence of Simultaneous Multiple Hierarchical Range Queries.- Degrees of Exclusivity in Disjunctive Databases.- The Ramification Problem in Temporal Databases: A Solution Implemented in SQL.- Digital Library.- Image Databases Browsing by Unsupervised Learning.- Decision Tree Induction for Identifying Trends in Line Graphs.- Automatic Handling of Digital Image Repositories: A Brief Survey.- Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval.- Intelligent Information Retrieval.- Evaluating Information Retrieval System Performance Based on Multi-grade Relevance.- A Dynamic Window Based Passage Extraction Algorithm for Genomics Information Retrieval.- Mining Scalar Representations in a Non-tagged Music Database.- Identification of Dominating Instrument in Mixes of Sounds of the Same Pitch.- Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval.- Combining Multiple Sources of Evidence in Web Information Extraction.- Text Mining.- Autonomous News Clustering and Classification for an Intelligent Web Portal.- On Determining the Optimal Partition in Agglomerative Clustering of Documents.- Ontological Summaries through Hierarchical Clustering.- Classification of Web Services Using Tensor Space Model and Rough Ensemble Classifier.- Intelligent Information Systems.- Agent-Based Assistant for e-Negotiations.- Local Soft Belief Updating for Relational Classification.- On a Probabilistic Combination of Prediction Sources.- Effective Document-Oriented Telemetry Data Compression.- Knowledge Representation and Integration.- Improving Integration with Subjective Combining of Ontology Mappings.- Text Onto Miner - A Semi Automated Ontology Building System.- Ontology-Driven Adaptive Medical Information Collection System.- An Effective Ontology Matching Technique.- A Causal Approach for Explaining Why a Heuristic Algorithm Outperforms Another in Solving an Instance Set of the Bin Packing Problem.- Web Service and Intelligence.- A Graph b-Coloring Based Method for Composition-Oriented Web Services Classification.- OWL-S Atomic Services Composition with SWRL Rules.- A Web-Based Interface for Hiding Bayesian Network Inference.- Applications.- Extraction of Informative Genes from Integrated Microarray Data.- Using Data Mining for Dynamic Level Design in Games.- A Logic Programming Based Framework for Security Protocol Verification.- Applying Cost Sensitive Feature Selection in an Electric Database.


Titel: Foundations of Intelligent Systems
Untertitel: 17th International Symposium, ISMIS 2008 Toronto, Canada, May 20-23, 2008 Proceedings
EAN: 9783540681236
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 10.05.2008
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 17.9 MB
Anzahl Seiten: 653

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