Intelligent Information Systems

Proceedings of the IIS’2000 Symposium, Bystra, Poland, June 12–16, 2000

Häftad, Engelska, 2000

Av Mieczyslaw Klopotek, Maciej Michalewicz, Slawomir T. Wierzchon

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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.

Produktinformation

Utgivningsdatum2000-06-05
Mått155 x 235 x 21 mm
Vikt575 g
FormatHäftad
SpråkEngelska
SerieAdvances in Intelligent and Soft Computing
Antal sidor364
FörlagPhysica-Verlag GmbH & Co
ISBN9783790813098

Tillhör följande kategorier

Affärsförhandlingar inom Ekonomi och ledarskap
Affärsapplikationer inom Data och it
Tillämpad datateknik inom Data och it
Artificiell intelligens inom Data och it

Rule and Decision Tree Acquisition.- Optimization and Interpretation of Rule-based Classifiers.- Comparative Analysis of Selected Association Rules Types.- Data Mining Experiments with the Melanoma Data Set.- Description of the Machine Operation in Varying Conditions with the Use of Dynamic Scene Idea.- Application of Decision Trees to Wavelet-based Classification of Musical Instrument Sounds.- Rough Sets.- Mining for Action-Rules in Large Decision Tables Classifying Customers.- Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithm.- Optimal Decision Making with Data-Acquired Decision Tables.- Unsupervised Learning.- Applying Data Mining Methods for Cellular Radio Network Planning.- SBL-PM: A Simple Algorithm for Selection of Reference Instances for Similarity Based Methods.- Geometrical Approach to a Coherent Set of Operational Definitions.- Generating Optimal Repertoire of Antibody Strings in an Artificial Immune System.- Logical and Methodological Foundations of AI.- Modeling Agent Organizations.- Expressiveness of $-Calculus: What Matters?.- Distributed Artificial Intelligence: A Case Study of Implementations of a Parallel Algorithm Computing All Homomorphisms of Finite Automata.- Methodology of Diagnostic Knowledge Acquisition from Databases of Examples.- Verification of Rule Knowledge Bases Using Decision Units.- Sound and Complete Propositional Nonmonotonic Logic of Hierarchically-Minimal Models.- Neural Networks and Evolutionary Algorithms.- Artifical Neural Network for Multiprocessor Tasks Scheduling.- Probabilistic Neural Nets in Knowledge Intense Learning Tasks.- Evolutionary Real-Time Optimization System for Ecological Power Control.- Speeding Up Evolution through Learning: LEM.- Evolutionary Search with Erosion of Quality Peaks.- Brain Differently Changes its Algorithms in Parallel Processing of Visual Information.- Handling of Uncertainty.- Discovery of Bayesian Networks From Data with Maintenance of Partially Oriented Graphs.- Visualization in Prediction Based on Grade Correspondence Analysis.- Extension of the HEPAR II Model to Multiple-Disorder Diagnosis.- Evaluation of Bank Transactions Correctness with Method of 2-dimensional Projection of High-Dimensional Fuzzy Membership Functions.- AI for Database Systems.- Consensus-based Methods for Restoring Consistency of Replicated Data.- A Strategy for Partial Evaluation of Views.- Approximate Answers in Databases of Labeled Objects.- Author Index.