Ebook: Intelligent Information Systems: Proceedings of the IIS’2000 Symposium, Bystra, Poland, June 12–16, 2000

The book contains a selection of papers presented at the International Symposium IIS'2000 held in Bystra, Poland devoted to broadly understood artificial intelligence. The selected papers report on progress in theory, and applications of 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). Applications range from medical diagnosis, processing of financial information, decision making to diagnosis and control of complex technical systems. Practical issues were investigated from various theoretical points of view like automated and semi-automated learning procedures or agent technology. Interesting practical solutions were proposed and challenging new research issues were suggested.

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The book contains a selection of papers presented at the International Symposium IIS'2000 held in Bystra, Poland devoted to broadly understood artificial intelligence. The selected papers report on progress in theory, and applications of 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). Applications range from medical diagnosis, processing of financial information, decision making to diagnosis and control of complex technical systems. Practical issues were investigated from various theoretical points of view like automated and semi-automated learning procedures or agent technology. Interesting practical solutions were proposed and challenging new research issues were suggested.

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The book contains a selection of papers presented at the International Symposium IIS'2000 held in Bystra, Poland devoted to broadly understood artificial intelligence. The selected papers report on progress in theory, and applications of 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). Applications range from medical diagnosis, processing of financial information, decision making to diagnosis and control of complex technical systems. Practical issues were investigated from various theoretical points of view like automated and semi-automated learning procedures or agent technology. Interesting practical solutions were proposed and challenging new research issues were suggested.
Content:
Front Matter....Pages I-XII
Optimization and Interpretation of Rule-Based Classifiers....Pages 1-13
Comparative Analysis of Selected Association Rules Types....Pages 15-26
Data Mining Experiments with a Melanoma Data Set....Pages 27-34
Description of the Machine Operation in Varying Conditions with the Use of Dynamic Scene Idea....Pages 35-44
Application of Decision Trees to Wavelet-based Classification of Musical Instrument Sounds....Pages 45-53
Mining for Action-Rules in Large Decision Tables Classifying Customers....Pages 55-63
Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithm....Pages 65-74
Optimal Decision Making with Data-Acquired Decision Tables....Pages 75-85
Applying Data Mining Methods for Cellular Radio Network Planning....Pages 87-98
SBL-PM: A Simple Algorithm for Selection of Reference Instances in Similarity Based Methods....Pages 99-107
Geometrical Approach to a Coherent Set of Operational Definitions....Pages 109-117
Generating Optimal Repertoire of Antibody Strings in an Artificial Immune System....Pages 119-133
Modeling Agent Organizations....Pages 135-144
Expressiveness of $-Calculus: What Matters?....Pages 145-157
Distributed Artificial Intelligence: A Case Study of Implementations of a Parallel Algorithm Computing All Homomorphisms of Finite Automata....Pages 159-173
Methodology of Diagnostic Knowledge Acquisition from Databases of Examples....Pages 175-184
Verification of Rule Knowledge Bases Using Decision Units....Pages 185-191
Sound and Complete Propositional Nonmonotonic Logic of Hierarchically-Minimal Models....Pages 193-205
Artificial Neural Network for Multiprocessor Tasks Scheduling....Pages 207-216
Probabilistic Neural Nets in Knowledge Intense Learning Tasks....Pages 217-226
Evolutionary Real-Time Optimization System for Ecological Power Control....Pages 227-242
Speeding Up Evolution through Learning: LEM....Pages 243-256
Evolutionary Search with Erosion of Quality Peaks....Pages 257-265
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information....Pages 267-276
Discovery of Bayesian Networks from Data with Maintenance of Partially Oriented Graphs....Pages 277-288
Visualization in Prediction Based on Grade Correspondence Analysis....Pages 289-301
Extension of the Hepar II Model to Multiple-Disorder Diagnosis....Pages 303-313
Evaluation of Bank Transactions Correctness with Method of 2-Dimensional Projection of High-Dimensional Fuzzy Membership Functions....Pages 315-324
Consensus-Based Methods for Restoring Consistency of Replicated Data....Pages 325-335
A Strategy for Partial Evaluation of Views....Pages 337-349
Approximate Answers in Databases of Labeled Objects....Pages 351-361
Back Matter....Pages 363-363

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The book contains a selection of papers presented at the International Symposium IIS'2000 held in Bystra, Poland devoted to broadly understood artificial intelligence. The selected papers report on progress in theory, and applications of 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). Applications range from medical diagnosis, processing of financial information, decision making to diagnosis and control of complex technical systems. Practical issues were investigated from various theoretical points of view like automated and semi-automated learning procedures or agent technology. Interesting practical solutions were proposed and challenging new research issues were suggested.
Content:
Front Matter....Pages I-XII
Optimization and Interpretation of Rule-Based Classifiers....Pages 1-13
Comparative Analysis of Selected Association Rules Types....Pages 15-26
Data Mining Experiments with a Melanoma Data Set....Pages 27-34
Description of the Machine Operation in Varying Conditions with the Use of Dynamic Scene Idea....Pages 35-44
Application of Decision Trees to Wavelet-based Classification of Musical Instrument Sounds....Pages 45-53
Mining for Action-Rules in Large Decision Tables Classifying Customers....Pages 55-63
Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithm....Pages 65-74
Optimal Decision Making with Data-Acquired Decision Tables....Pages 75-85
Applying Data Mining Methods for Cellular Radio Network Planning....Pages 87-98
SBL-PM: A Simple Algorithm for Selection of Reference Instances in Similarity Based Methods....Pages 99-107
Geometrical Approach to a Coherent Set of Operational Definitions....Pages 109-117
Generating Optimal Repertoire of Antibody Strings in an Artificial Immune System....Pages 119-133
Modeling Agent Organizations....Pages 135-144
Expressiveness of $-Calculus: What Matters?....Pages 145-157
Distributed Artificial Intelligence: A Case Study of Implementations of a Parallel Algorithm Computing All Homomorphisms of Finite Automata....Pages 159-173
Methodology of Diagnostic Knowledge Acquisition from Databases of Examples....Pages 175-184
Verification of Rule Knowledge Bases Using Decision Units....Pages 185-191
Sound and Complete Propositional Nonmonotonic Logic of Hierarchically-Minimal Models....Pages 193-205
Artificial Neural Network for Multiprocessor Tasks Scheduling....Pages 207-216
Probabilistic Neural Nets in Knowledge Intense Learning Tasks....Pages 217-226
Evolutionary Real-Time Optimization System for Ecological Power Control....Pages 227-242
Speeding Up Evolution through Learning: LEM....Pages 243-256
Evolutionary Search with Erosion of Quality Peaks....Pages 257-265
Brain Differently Changes its Algorithms in Parallel Processing of Visual Information....Pages 267-276
Discovery of Bayesian Networks from Data with Maintenance of Partially Oriented Graphs....Pages 277-288
Visualization in Prediction Based on Grade Correspondence Analysis....Pages 289-301
Extension of the Hepar II Model to Multiple-Disorder Diagnosis....Pages 303-313
Evaluation of Bank Transactions Correctness with Method of 2-Dimensional Projection of High-Dimensional Fuzzy Membership Functions....Pages 315-324
Consensus-Based Methods for Restoring Consistency of Replicated Data....Pages 325-335
A Strategy for Partial Evaluation of Views....Pages 337-349
Approximate Answers in Databases of Labeled Objects....Pages 351-361
Back Matter....Pages 363-363
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