Intelligent information systems : proceedings of the IIS'2000 symposium, Bystra, Poland, June 12-16, 2000
著者
書誌事項
Intelligent information systems : proceedings of the IIS'2000 symposium, Bystra, Poland, June 12-16, 2000
(Advances in soft computing)
Physica-Verlag, c2000
大学図書館所蔵 全6件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes references and index
内容説明・目次
内容説明
This volume contains articles accepted for presentation during The Intelligent Information Systems Symposium I1S'2000 which was held in Bystra, Poland, on June 12-16, 2000. This is ninth, in the order, symposium organized by the Institute of Computer Science of Polish Academy of Sciences and 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 uni versities in Europe and USA. 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 (Le. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evolutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually presented. Besides, for several years now, the symposia are accompanied by a number of tutorials, given by the outstanding scientists in their domain. Up to this year the proceedings were published as our local publication and they were distributed among the scientific libraries. We feel however, that the subject matter as well as the quality of papers is sufficient to present the proceedings to a broader scientific audience.
目次
Rule and Decision Tree Acquistion: W. Duch, N. Jankowski, K. Grabcewski, R. Adamczak: Optimization and Interpretation of Rule-Based Classifiers.- M. Gajek: Comparative Analysis of Selected Association Rules Types.- J.W. Grzymala-Busse, Z.S. Hippe: Data Mining Experiments with the Melanoma Data Set.- A. Timofiejczuk: Description of the Machine Operation in Varying Conditions with the Use of Dynamic Scene Idea.- A.A. Wieczorkowska: Application of Decision Trees to Wavelet-Based Classification of Musical Instrument Sounds.- Rough Sets: Z.W.Ras, A.A. Wieczorkowska: Mining for Action-Rules in Large Decision Tables Classifying Customers.- R. Susmaga: Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithm.- W. Ziarko: Optimal Decision Making with Data-Acquired Tables.- Unsupervised Learning: P. Gawrysiak, M. Okoniewski: Applying Data Mining Methods for Cellular Radio Network Planning.- K. Grudzinki, W. Duch: SBL-PM: A Simple Algorithm for Selection of Reference Instances for Similarity Based Methods.- A. Ossowski, J. Zytkow: Geometical Approach to a Coherent Set of Operational Definitions.- S.T. Wierzchon: Generating Optimal Repertoire of Antibody Strings in an Artificial Immune System.- Logical and Methodological Foundations of AI: S. Ambroszkiewicz, K. Cetnarowicz, J. Kozlak, T. Nowak, W. Penczek: Modeling Agent Organizations.- E. Eberbach: Expressiveness of $-Calculus: What Matters?.- B. Mikolajczak: Distributed Artificial Intelligence: A Case Study of Implementations of a Parallel Algorithm Computing All Homomorphisms of Finite Automata.- W. Moczulski: Methodology of Diagnostic Knowledge Acquisition from Databases of Examples.- R. Siminski, A. Wakulicz-Deja: Verification of Rule Knowledge Bases Using Decision Units.- M. A. Suchenek: Sound and Complete Propositional Nonmonotonic Logic of Hierarchically-Minimal Models.- Neural Networks and Evolutionary Algorithms: I. Czarnowski, P. Jedrzejowicz: Artificial Neural Network for Multiprocessor Tasks Scheduling.- M.A. Klopotek: Probabilistic Neural Nets in Knowledge Intense Learning Tasks.- M. Michalewicz, K. Juda-Rezler, K. Trojanowski, A. Matuszewski, Z. Michalewicz, M. Trojanowski: Evolutionary Real-Time Optimization System for Ecological Power Control.- R. Michalski, G. Cervone, K. Kaufman: Speeding Up Evolution through Learning: LEM.- A. Obuchowicz: Evolutionary Search with Erosion of Quality Peaks.- A.W. Przybyszewski, D.W. Pollen: Brain Changes Differently Its Algorithms in Parallel Processing of the Visual Information.- Handling of Uncertainty: M.A. Klopotek, S.T. Wierzchon: Discovery of Bayesian Networks from Data with Maintenance of Partially Oriented Graphs.- O. Matyja, W. Szcesny: Vizualization in Prediction Based on Grade Correspondence Analysis.- A. Onisko, M. Druzdzel, H. Wasyluk: Extension of the HEPAR II Model to Multiple-Disorder Diagnosis.- M. Plucinski, A. Piegat: Evaluation of Bank Transactions Correctness with Method of 2-dimensional Projection of High-Dimensional Fuzzy Membership Functions.- AI for Database Systems: C. Danilowicz, N. Th. Nguyen: Consensus-Based Methods for Restoring Consistency of Replicated Data.- P. Godfrey, J. Gryz: A Strategy for Partial Evaluation of Views.- T. Pankowski: Approximate Answers in Databases of Labeled Objects.- Authors Index.
「Nielsen BookData」 より