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Intelligent Information Systems 2001

Proceedings of the International Symposium “Intelligent Information Systems X”, June 18–22, 2001, Zakopane, Poland

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Mieczysław A. Kłopotek

    1. Polish Academy of Sciences, Warsaw, Poland

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  2. Maciej Michalewicz

    1. Polish Academy of Sciences, Warsaw, Poland

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  3. Sławomir T. Wierzchoń

    1. Polish Academy of Sciences, Warsaw, Poland

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Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 10)

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Rule and Decision Tree Learning

    1. Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients

      • Kwei Aryeetey, Wojciech Ziarko, Patricia Tai, Casely Ago
      Pages 1-12

    2. The Development of the AQ20 Learning System and Initial Experiments

      • Guido Cervone, Liviu Panait, Ryszard Michalski
      Pages 13-29

    3. Discovering Multi-head Attributional Rules in Large Databases

      • Cezary Głowiński, Ryszard S. Michalski
      Pages 31-41

    4. Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms

      • Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
      Pages 43-55

    5. Technologies for Sound Database Indexing: Musical Instrument Classification Methods

      • Alicja A. Wieczorkowska
      Pages 57-66

  3. Unsupervised Learning

    1. Significance Testing in the Grade Correspondence Analysis

      • Alicja Ciok
      Pages 67-74

    2. Ensembles of Similarity-Based Models

      • Włodzisław Duch, Karol Grudziński
      Pages 75-85

    3. Regression — Yet Another Clustering Method

      • Piotr Gawrysiak, Michal Okoniewski, Henryk Rybinski
      Pages 87-95

    4. Taxonomy Building: Cases or Attributes ?

      • Mieczyslaw A. Klopotek
      Pages 97-110

    5. Using Grade Correspondence Analysis to Merge Populations and Detect Latent Orders

      • Wiesław Szczesny, Olaf Matyja
      Pages 111-120

    6. Mining the Preference Relations and Preference Graphs

      • Jan M. Żytkow, Daniel Arredondo
      Pages 121-131

  4. Biologically Motivated Methods

    1. Multi-Dimensional Gaussian and Cauchy Mutations

      • Andrzej Obuchowicz
      Pages 133-142

    2. Statistical Genetic Algorithms

      • Andrzej Ossowski, Anna Święcicka
      Pages 143-154

    3. Cellular Automata Approach to Scheduling Problem in Case of Modifications of a Program Graph

      • Anna Święcicka, Franciszek Seredyński, Mariusz Jażdżyk
      Pages 155-166

    4. Multimodal Optimization with Artificial Immune Systems

      • Sławomir T. Wierzchoń
      Pages 167-178

  5. Learning and Reasoning Under Uncertainty

    1. Bayesian Network Mining System

      • Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Maciej Michalewicz, Marek Bednarczyk, Wiesław Pawłowski, Andrzej Wąsowski
      Pages 179-193

    2. Intelligent Techniques in Stock Analysis

      • Halina Kwaśnicka, Marcin Ciosmak
      Pages 195-208

    3. Models of Multiple Response Independence

      • Andrzej Matuszewski, Krzysztof Trojanowski
      Pages 209-220

    4. The Role of Support and Confidence in Collaborative Query Answering

      • Zbigniew W. Ras
      Pages 221-226
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Keywords

About this book

This volume contains articles accepted for presentation during The Intelli­ gent Information Systems Symposium IIS'2001 which was held in Zakopane, Poland, on June 18-22, 200l. This is tenth, in the order, symposium orga­ nized 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 esea r rch 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 (i.e. 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.

Editors and Affiliations

  • Polish Academy of Sciences, Warsaw, Poland

    Mieczysław A. Kłopotek, Maciej Michalewicz, Sławomir T. Wierzchoń

Bibliographic Information

  • Book Title: Intelligent Information Systems 2001

  • Book Subtitle: Proceedings of the International Symposium “Intelligent Information Systems X”, June 18–22, 2001, Zakopane, Poland

  • Editors: Mieczysław A. Kłopotek, Maciej Michalewicz, Sławomir T. Wierzchoń

  • Series Title: Advances in Intelligent and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1813-0

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-7908-1407-1Published: 06 June 2001

  • eBook ISBN: 978-3-7908-1813-0Published: 11 November 2013

  • Series ISSN: 1867-5662

  • Series E-ISSN: 1867-5670

  • Edition Number: 1

  • Number of Pages: XII, 305

  • Number of Illustrations: 52 b/w illustrations

  • Topics: Artificial Intelligence

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