Intelligent Information Processing and Web Mining: Proceedings of the International IIS: IIPWM´03 Conference held in Zakopane, Poland, June 2-5, 2003 (Advances in Intelligent and Soft Computing, 22)

This edited book contains articles accepted for presentation during The Intelligent Information Processing and Web Mining Conference IIS:IIPWM ́03 held in Zakopane, Poland, on June 2-5, 2003. A lot of attention is devoted to the newest developments in the area of Artificial Intelligence with special calls for contributions on artificial immune systems and search engines. This book will be a valuable source for further research in the fields of data mining, intelligent information processing, immunogenetics, machine learning, or language processing for search engines. Front Matter....Pages I-XIV Front Matter....Pages 1-1 Model of the Immune System to Handle Constraints in Evolutionary Algorithm for Pareto Task Assignments....Pages 3-12 Function Optimization with Coevolutionary Algorithms....Pages 13-22 Studying Properties of Multipopulation Heuristic Approach to Non-Stationary Optimisation Tasks....Pages 23-32 An Immune-based Approach to Document Classification....Pages 33-46 Front Matter....Pages 47-47 Entish: Agent Communication Language for Service Integration....Pages 49-58 Automated Classification of Web Documents into a Hierarchy of Categories....Pages 59-68 Extraction of User Profiles by Discovering Preferences through Machine Learning....Pages 69-78 Safer Decisions Against A Dynamic Opponent....Pages 79-86 Bayesian Nets for Recommender Systems....Pages 87-96 Implementing Adaptive User Interface for Web Applications....Pages 97-104 Web-based Intelligent Tutoring System with Strategy Selection Using Consensus Methods....Pages 105-109 Discovering Company Descriptions on the Web by Multiway Analysis....Pages 111-118 Front Matter....Pages 119-119 Passage Extraction in Geographical Documents....Pages 121-130 Morphological Categorization using Attribute Value Trees and XML....Pages 131-138 Towards a Framework Design of a Retrieval Document System Based on Rhetorical Structure Theory and Cue Phrases....Pages 139-148 Adaptive Translation between User’s Vocabulary and Internet Queries....Pages 149-157 Aspect Assignment in a Knowledge-based English-Polish Machine Translation System....Pages 159-167 An Approach to Rapid Development of Machine Translation System for Internet....Pages 169-178 Hierarchical Clustering of Text Corpora Using Suffix Trees....Pages 179-188 Semantic Indexing for Intelligent Browsing of Distributed Data....Pages 189-198 Front Matter....Pages 119-119 An Improved Algorithm on Word Sense Disambiguation....Pages 199-208 Web Search Results Clustering in Polish: Experimental Evaluation of Carrot....Pages 209-219 Front Matter....Pages 219-219 A Hybrid Genetic Algorithm — Decision Tree Classifier....Pages 221-232 Optimization of the ABCD Formula Used for Melanoma Diagnosis....Pages 233-240 An Instance Reduction Algorithm for Supervised Learning....Pages 241-250 Dependence of Two Multiresponse Variables: Importance of The Counting Method....Pages 251-260 On Effectiveness of Pre-processing by Clustering in Prediction of C.E. Technological Data with ANNs....Pages 261-266 The Development of the Inductive Database System VINLEN: A Review of Current Research....Pages 267-276 Automatic Classification of Executable Code for Computer Virus Detection....Pages 277-284 Heuristic Search for Optimal Architecture of a Locally Reccurent Neural Network....Pages 285-292 Discovering Extended Action-Rules (System DEAR)....Pages 293-300 Discovering Semantic Inconsistencies to Improve Action Rules Mining....Pages 301-310 Incremental Rule Induction for Multicriteria and Multiattribute Classification....Pages 311-319 Statistical and Neural Network Forecasts of Apparel Sales....Pages 321-329 Mining Knowledge About Process Control in Industrial Databases....Pages 331-340 Acquisition of Vehicle Control Algorithms....Pages 341-350 Front Matter....Pages 351-351 On Algebraic Operations on Fuzzy Numbers....Pages 353-362 Dual Resolution for Logical Reduction of Granular Tables....Pages 363-372 Computer-Oriented Sequent Inferring without Preliminary Skolemization....Pages 373-382 Converting Association Rules into Natural Language — an Attempt....Pages 383-392 Front Matter....Pages 351-351 Proof Searching Algorithm for the Logic of Plausible Reasoning....Pages 393-398 Front Matter....Pages 399-399 Collective Intelligence from a Population of Evolving Neural Networks....Pages 401-410 Taming Surprises....Pages 411-422 Problems with Automatic Classification of Musical Sounds....Pages 423-430 Discovering Dependencies in Sound Descriptors....Pages 431-438 Front Matter....Pages 439-439 Intelligent Systems and Information Extraction — True and Applicative....Pages 441-450 Ontology-based Text Document Clustering (Extended Abstract of Invited Talk)....Pages 451-452 Ontology Learning from Text: Tasks and Challenges for Machine Learning (Extended Abstract)....Pages 453-455 Front Matter....Pages 457-457 Caching Dynamic Data for E-Business Applications....Pages 459-466 A Contextual Language Approach for Multirepresentation Ontologies....Pages 467-476 An Ontology-based Mediation Architecture for E-commerce Applications....Pages 477-486 Front Matter....Pages 487-487 On generalized quantifiers, finite sets and data mining....Pages 489-496 Front Matter....Pages 497-497 MLEM2—Discretization During Rule Induction....Pages 499-508 Front Matter....Pages 509-509 A Hybrid Model Approach to Artificial Intelligence....Pages 511-520 Applying Transition Networks in Translating Polish E-Mails....Pages 521-527 Link Recommendation Method Based on Web Content and Usage Mining....Pages 529-533 Conceptual Modeling of Concurrent Information Systems with General Morphisms of Petri Nets....Pages 535-539 Reliability of the Navigational Data....Pages 541-545 Evaluation of Authorization with Delegation and Negation....Pages 547-551 Decision Units as a Tool for Rule Base Modeling and Verification....Pages 553-556 Front Matter....Pages 509-509 Advantages of Deploying Web Technology in Warfare Simulation System....Pages 557-561 Knowledge Management and Data Classification in Pellucid....Pages 563-567 A Representation of Relational Systems....Pages 569-573 Concept of the Knowledge Quality Management for Rule-Based Decision System....Pages 575-579

This edited book contains articles accepted for presentation during the conference "Intelligent Information Systems 2005 (IIS 2005) - New Trends in Intelligent Information Processing and Web Mining" held in Gdansk, Poland, on June 13-16, 2005. Special attention is devoted to the newest developments in the areas of Artificial Immune Systems, Search engines, Computational Linguistics and Knowledge Discovery. The focus of this book is also on new computing paradigms including biologically motivated methods, quantum computing, DNA computing, advanced data analysis, new machine learning paradigms, reasoning technologies, natural language processing and new optimization techniques.

This edited book contains articles accepted for presentation during The Intelligent Information Processing and Web Mining Conference IIS:IIPWḾ03 held in Zakopane, Poland, on June 2-5, 2003. A lot of attention is devoted to the newest developments in the area of Artificial Intelligence with special calls for contributions on artificial immune systems and search engines. This book will be a valuable source for further research in the fields of data mining, intelligent information processing, immunogenetics, machine learning, or language processing for search engines A collection of articles accepted for presentation during The Intelligent Information Processing and Web Mining Conference IIS:IIPWM ́03 held in Zakopane, Poland, on June 2-5, 2003. A lot of attention is devoted to the newest developments in the area of Artificial Intelligence with special calls for contributions on artificial immune systems and search engines. This book will be a valuable source for further research in the fields of data mining, intelligent information processing, immunogenetics, machine learning, or language processing for search engines. Evolutionary algorithms (EAs) are an unconstrained search technique and, subsequently, have to exploit a supplementary procedure to incorporate constraints into fitness function in order to conduct the search correctly.