11. ISMIS 1999: Warsaw, Poland

Invited Papers

• Willi Klösgen:
  Applications and Research Problems of Subgroup Mining. 1-15
  
• Yves Kodratoff:
  Knowledge Discovery in Texts: A Definition, and Applications. 16-29
  
• Robert Meersman:
  Semantic Ontology Tools in IS Design. 30-45
  
• V. S. Subrahmanian:
  Heterogenous Agent systems (Extended Abstract). 46-55
  
• Gio Wiederhold:
  Information Systems that Really Support Decision-making. 56-66
  

Logics for AI

• Jianhua Chen:
  A Class of Stratified Programs in Autoepistemic Logic of Knowledge and Belief. 67-75
  
• Attilio Giordana, Lorenza Saitta:
  On-Line Estimation of Matching Complexity in First Order Logic. 76-84
  
• Cheng-Min Wu, Yan Zhang:
  Implementing Prioritized Logic Programming. 85-93
  
• Antonio Badia:
  Extending Description Logics with Generalized Quantifikation. 94-102
  

Intelligent Information Retrieval

• Floriana Esposito, Donato Malerba, Francesca A. Lisi:
  Machine Learning for Intelligent Document Processing: The WISDOM System. 103-113
  
• Ali H. Alsaffar, Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever:
  Concept Based Retrieval by Minimal Term Sets. 114-122
  
• Patrick Lambrix, Nahid Shahmehri, Svend Jacobsen:
  Querying Document Bases by Content, Structure and Properties. 123-132
  
• Fabrizio Sebastiani:
  Total Knowledge and Partial Knowledge in Logical Models of Information Retrieval. 133-143
  

Intelligent Information Systems

• S. Misbah Deen, C. A. Johnson:
  Towards a Theoretical Foundation for Cooperating Knowledge Based Systems. 144-153
  
• Bipin C. Desai, Rajjan Shinghal, Nader Shayan, Youquan Zhou:
  CINDI: A System for Cataloguing, Searching, and Annotating Electronic Documents in Digital Libraries. 154-162
  
• Setsuo Ohsuga, Takumi Aida:
  Externalization of Human Idea and Problem Description for Automatic Programming. 163-171
  
• Bartlomiej Predki, Szymon Wilk:
  Rough Set Based Data Exploration Using ROSE System. 172-180
  
• Daniel Pacholczyk:
  Towards an Intelligent System Dealing with Nuanced Information Expressed in Affirmative or Negative Forms. 181-189
  

Intelligent Information Retrieval

• Bernd Thomas:
  Logic Programs for Intelligent Web Search. 190-198
  
• Roberto Basili, Massimo Di Nanni, Maria Teresa Pazienza:
  Representing Document Content via an Object-Oriented Paradigm. 199-207
  
• Giovanni Semeraro, Maria Francesca Costabile, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli:
  A Learning Server for Inducing User Classification Rules in a Digital Library Service. 208-216
  
• Sukhamay Kundu:
  A Better Fitness Measure of a Text-Document for a Given Set of Keywords. 217-225
  
• Gian Piero Zarri, Elisa Bertino, Bill Black, Andrew Brasher, Barbara Catania, Diana Deavin, Luigi Di Pace, Floriana Esposito, Pietro Leo, John McNaught, Andreas Persidis, Fabio Rinaldi, Giovanni Semeraro:
  CONCERTO, An Environment for the 'Intelligent' Indexing, Querying and Retrieval of Digital Documents. 226-234
  

Learning and Knowledge Discovery

• Hui Wang, Hung Son Nguyen:
  Text Classification Using Lattice Machine. 235-243
  
• M. A. Merzbacher:
  Discovering Semantic Proximity for Web Pages. 244-252
  
• Irene Weber:
  A Declarative Language Bias for Levelwise Search of First-Order Regularities. 253-261
  
• Piotr Ejdys, Grzegorz Góra:
  The More We Learn the Less We Know? On Inductive Learning from Examples. 262-270
  

Logics for AI

• Patrick Doherty, Witold Lukaszewicz, Ewa Madalinska-Bugaj:
  Computing MPMA Updates Using Dijkstra's Semantics. 271-281
  
• Masao Mukaidono:
  Several Extensions of Truth Values in Fuzzy Logic. 282-291
  
• Ramón Béjar, Felip Manyà:
  Phase Transitions in the Regular Random 3-SAT Problem. 292-300
  
• Laure Brisoux, Éric Grégoire, Lakhdar Sais:
  Improving Backtrack Search for SAT by Means of Redundancy. 301-309
  

Intelligent Information Systems

• Hung Son Nguyen, Sinh Hoa Nguyen, Andrzej Skowron:
  Decomposition of Task Specification Problems. 310-318
  
• Aijun An, Nick Cercone, Christine W. Chan:
  ORTES: The Design of a Real-Time Control Expert System. 319-329
  
• Barry G. T. Lowden, Jerome Robinson:
  A Statistical Approach to Rule Selection in Semantic Query Optimisation. 330-339
  
• Mohand-Said Hacid, Christophe Rigotti:
  Representing and Reasoning on Conceptual Queries Over Image Databases. 340-348
  

Learning and Knowledge Discovery

• Shusaku Tsumoto:
  Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics. 349-357
  
• Maciej Michalewicz, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
  Reasoning and Acquisition of Knowledge in a System for Hand Wound Diagnosis and Prognosis. 358-366
  
• Alicja Wieczorkowska:
  Rough Sets as A Tool for Audio Signal Classification. 367-375
  
• David Brindle, Wojciech Ziarko:
  Experiments with Rough Sets Approach to Speech Recognition. 376-384
  

Computer Vision

• Norihiro Abe, Kazuaki Tanaka, Hirokazu Taki:
  A System for Understanding a Mechanical Assembly Instruction Manual Using Virtual Space. 385-394
  
• Wladyslaw Skarbek:
  Perceptual Convergence of Discrete Clamped Fractal Operator. 395-401
  
• Wladyslaw Skarbek, Adam Pietrowcew, Radoslaw Sikora:
  Modified Oja-RLS Algorithm-Stochastic Convergence Analysis and Application for Image Compression. 402-410
  

Learning and Knowledge Discovery

• Kenneth A. Kaufman, Ryszard S. Michalski:
  Learning from Inconsistent and Noisy Data: The AQ18 Approach. 411-419
  
• Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone:
  Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. 420-429
  
• Lucja Iwanska, Naveen Mata, Kellyn Kruger:
  Fully Automatic Acquisition of Taxonomic Knowledge from Large Corpora of Texts: Limited Syntax Knowledge Representation System Based on Natural Language. 430-438
  

Learning and Knowledge Discovery

• Francisco Botana:
  A Fuzzy Measure of Similarity for Instance-Based Learning. 439-447
  
• Robert Susmaga:
  Computation of Minimal Cost Reducts. 448-456
  
• Jaroslaw Stepaniuk:
  Rough Set Data Mining of Diabetes Data. 457-465
  
• Delphine Michaut, Pierre Baptiste:
  Selection of a Relevant Feature Subset for Induction Tasks. 466-474
  

Knowledge Representation

• Jacques Calmet, Peter Kullmann:
  A Data Structure for Subsumption-Based Tabling in Top-Drown Resolution Engines for Data-Intensive Logic Applications. 475-483
  
• Mehmet A. Orgun:
  Modelling and Reasoning about Multi-dimensional Information. 484-493
  
• Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
  An Interpretation for the Conditional Belief Function in the Theory of Evidence. 494-502
  
• Les M. Sztandera, Charles Bock, Mendel Trachtman, Janardhan Velga:
  Artificial Neural Networks Aid the Design of Non-carcinogenic Azo Dyes. 503-511
  

Evolutionary Computation

• Kenneth A. De Jong:
  Evolving in a Changing World. 512-519
  
• Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello:
  High-Performance Data Mining on Networks of Workstations. 520-528
  
• Jan J. Mulawka, Piotr Wasiewicz, Katarzyna Pietak:
  Virus-Enhanced Genetic Algorithms Inspired by DNA Computing. 529-537
  
• Krzysztof Trojanowski, Zbigniew Michalewicz:
  Evolutionary Approach to Non-stationary Optimisation Tasks. 538-546
  

Learning and Knowledge Discovery

• Jan Cwik, Jacek Koronacki, Jan M. Zytkow:
  On Discovering Functional Relationships When Observations Are Noisy: 2D Case. 547-555
  
• James F. Peters, Liting Han, Sheela Ramanna:
  Approximate Time Rough Software Cost Decision System: multicriteria Decision-Making Approach. 556-564
  
• Mauricio Amaral de Almeida, Stan Matwin:
  Machine Learning Method for Software Quality Model Building. 565-573
  
• Sinh Hoa Nguyen:
  Discovery of Generalized Patterns. 574-582
  

Learning and Knowledge Discovery

• Marzena Kryszkiewicz, Henryk Rybinski:
  Incomplete Database Issues for Representative Association Rules. 583-591
  
• Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal:
  A Dynamic Integration Algorithm for an Ensemble of Classifiers. 592-600
  
• Gabriel Fiol-Roig:
  UIB-IK: A Computer System for Decision Trees Induction. 601-611
  
• Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang:
  Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching. 612-620
  
• Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
  Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms. 621-629
  

Evolutionary Computation

• Cees H. M. van Kemenade, Joost N. Kok:
  Cluster Evolution Strategies for Constrained Numerical Optimization. 630-638
  
• F. Mansanne, F. Carrère, A. Ehinger, Marc Schoenauer:
  Evolutionary Algorithms as Fittness Function Debuggers. 639-647
  
• Martin Schmidt:
  Solving Real-Life Time-Tabling Problems. 648-656
  
• Roger Johnson:
  On Measures of Search Features. 657-664
  
• Jacek Jelonek, Maciej Komosinski:
  Genetic Algorithms in Constructive Induction. 665-673
  

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