Klopotek / Wierzchon / Trojanowski Intelligent Information Processing and Web Mining

Proceedings of the International IIS: IIPWM´03 Conference held in Zakopane, Poland, June 2-5, 2003
Erscheinungsjahr 2013
ISBN: 978-3-540-36562-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 22, 579 Seiten, eBook

Reihe: Advances in Intelligent and Soft Computing

This volume contains articles accepted for presentation during The Intelligent Information Processing and Web Mining Conference IIS:IIPWM'03 which was held in Zakopane, Poland, on June 2-5, 2003. This conference extends a series of 12 successful symposia on Intelligent Information Systems, organized by the Institute of Computer Science of Polish Academy of Sciences, devoted to new trends in (broadly understood) Artificial Intelligence. The idea of organizing such meetings dates back to 1992. Our main in tention guided the first, rather small-audience, workshop in the series was to resume the results gained in Polish scientific centers as well as contrast them with the research performed by Polish scientists working at the universities in Europe and USA and their foreign collaborators. This idea proved to be attractive enough that we decided to continue such meetings. As the years went by, the workshops has transformed into regular symposia devoted to such fields like Machine Learning, Knowledge Discovery, Natural Language Processing, Knowledge Based Systems and Reasoning, and Soft Computing (i. e. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evo lutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually presented. This year conference is an attempt to draw a much broader international audience on the one hand, and to devote much more attention to the newest developments in the area of Artificial Intelligence. Therefore special calls for contributions on artificial immune systems and search engines.

Zielgruppe

Research

Autoren/Hrsg.

Klopotek, Mieczyslaw A.

Wierzchon, Slawomir T.

Trojanowski, Krzysztof

Inhaltsverzeichnis

Model of the Immune System to Handle Constraints in Evolutionary Algorithm for Pareto Task Assignments.- Function Optimization with Coevolutionary Algorithms.- Studying Properties of Multipopulation Heuristic Approach to Non-Stationary Optimisation Tasks.- An Immune-based Approach to Document Classification.- Entish: Agent Communication Language for Service Integration.- Automated Classification of Web Documents into a Hierarchy of Categories.- Extraction of User Profiles by Discovering Preferences through Machine Learning.- Safer Decisions Against A Dynamic Opponent.- Bayesian Nets for Recommender Systems.- Implementing Adaptive User Interface for Web Applications.- Web-based Intelligent Tutoring System with Strategy Selection Using Consensus Methods.- Discovering Company Descriptions on the Web by Multiway Analysis.- Passage Extraction in Geographical Documents.- Morphological Categorization Attribute Value Trees and XML.- Towards a Framework Design of a Retrieval Document System Based on Rhetorical Structure Theory and Cue Phrases.- Adaptive Translation between User’s Vocabulary and Internet Queries.- Aspect Assignment in a Knowledge-based English-Polish Machine Translation System.- An Approach to Rapid Development of Machine Translation System for Internet.- Hierarchical Clustering of Text Corpora Using Suffix Trees.- Semantic Indexing for Intelligent Browsing of Distributed Data.- An Improved Algorithm on Word Sense Disambiguation.- Web Search Results Clustering in Polish: Experimental Evaluation of Carrot.- A Hybrid Genetic Algorithm — Decision Tree Classifier.- Optimization of the ABCD Formula Used for Melanoma Diagnosis.- An Instance Reduction Algorithm for Supervised Learning.- Dependence of Two Multiresponse Variables: Importance of The Counting Method.-On Effectiveness of Pre-processing by Clustering in Prediction of C.E. Technological Data with ANNs.- The Development of the Inductive Database System VINLEN: A Review of Current Research.- Automatic Classification of Executable Code for Computer Virus Detection.- Heuristic Search for an Optimal Architecture of a Locally Reccurent Neural Network.- Discovering Extended Action-Rules (System DEAR).- Discovering Semantic Inconsistencies to Improve Action Rules Mining.- Incremental Rule Induction for Multicriteria and Multiattribute Classification.- Statistical and Neural Network Forecasts of Apparel Sales.- Mining Knowledge About Process Control in Industrial Databases.- Acquisition of Vehicle Control Algorithms.- Algebraic Operations on Fuzzy Numbers.- Dual Resolution for Logical Reduction of Granular Tables.- Computer-Oriented Sequent Inferring without Preliminary Skolemization.- Converting Association Rules into Natural Language — an Attempt.- Proof Searching Algorithm for the Logic of Plausible Reasoning.- Collective Intelligence from a Population of Evolving Neural Networks.- Taming Surprises.- Problems with Automatic Classification of Musical Sounds.- Discovering Dependencies in Sound Descriptors.- Intelligent Systems and Information Extraction — True and Applicative.- Ontology-based Text Document Clustering.- Ontology Learning from Text: Tasks and Challenges for Machine Learning.- Caching Dynamic Data for E-Business Applications.- A Contextual Language Approach for Multirepresentation Ontologies.- An Ontology-based Mediation Architecture for E-commerce Applications.- On generalized quantifiers, finite sets and data mining.- MLEM2—Discretization During Rule Induction.- A Hybrid Model Approach to Artificial Intelligence.- Applying Transition Networks inTranslating Polish E-Mails.- Link Recommendation Method Based on Web Content and Usage Mining.- Conceptual Modeling of Concurrent Information Systems with General Morphisms of Petri Nets.- Reliability of the Navigational Data.- Evaluation of Authorization with Delegation and Negation.- Decision Units as a Tool for Rule Base Modeling and Verification.- Advantages of Deploying Web Technology in Warfare Simulation System.- Knowledge Management and Data Classification in Pellucid.- A Representation of Relational Systems.- Concept of the Knowledge Quality Management for Rule-Based Decision System.