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Original Essays | September 18, 2014

Lin Enger: IMG Knowing vs. Knowing



On a hot July evening years ago, my Toyota Tercel overheated on a flat stretch of highway north of Cedar Rapids, Iowa. A steam geyser shot up from... Continue »
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Studies in Fuzziness and Soft Computing #19: Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems

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Studies in Fuzziness and Soft Computing #19: Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems Cover

 

Synopses & Reviews

Publisher Comments:

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

Synopsis:

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

Table of Contents

Z. Pawlak: Foreword; L. Polkowski, A. Skowron: Introducing the Book.- Applications: S. Greco, B. Matarazzo, R. Slowinski: Rough Approximation of a Preference Relation in a Pairwise Comparison Table; K. Krawiec, R. Slowinski, D. Vanderpooten: Learning Decision Rules form Similiarity Based Rough Approximations; S. Hoa Nguyen, A. Skowron, P. Synak: Discovery of Data Patterns with Applications to Decomposition and Classification Problems; Z.W. Ras: Answering Non-Standard Queries in Distributed Knowledge-Based Systems; J. Stepaniuk: Approximation Spaces, Reducts and Representatives; N. Zhong, J.Z. Dong, S. Ohsuga: Data Mining: A Probabilistic Rough Set Approach.- Case Studies: A. Czyzewski: Soft Processing of Audio Signals; K. Furuta, M. Hirokane, Y. Mikumo: Extraction Method Based on Rough Set Theory of Rule-Type Knowledge from Diagnostic Cases of Slope-Failure Danger Levels; B. Kostek: Soft Computing-Based Recognition of Musical Sounds; A. Mrozel, K. Skabek: Rough Sets in Economic Applixations; K. Slowinski, J. Stefanowski: Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis; H. Tanaka, Y. Maeda: Reduction Methods for Medical Data; S. Tsumoto: Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory; D. Van den Poel: Rough Sets for Database Marketing; H. Zang, R. Swiniarski: A New Halftoning Method Based on Error Diffusion with Rough Set Filtering.- Hybrid Approaches: C. Browne, I. Düntsch, G. gediga: IRIS Revisited: A Comparison of Discriminant and Enhanced Rough Set Data Analysis; R. Lingras: Applications of Rough Patterns; J.F. Peters III: Time and Clock Information Systems: Concepts and Roughly Fuzzy Petri Net Models; Z. Suraj: The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems; M.S. Szczuka: Rough Sets and Artificial Neural Networks; J. Wróblewski: Genetic Algorithms in Decomposition and Classification Problems.- Appendix 1: Rough Set Bibliography.- Appendix 2: Software Systems.

Product Details

ISBN:
9783790824599
Author:
Polkowski, Lech
Publisher:
Physica-Verlag
Location:
Heidelberg
Subject:
Database applications
Subject:
Information Management
Subject:
Data analysis
Subject:
Data mining
Subject:
Datenanalyse
Subject:
Decision Support Techniques.
Subject:
Fuzzy logic
Subject:
Rough sets.
Subject:
Soft computing
Subject:
Techniken der Entscheidungsfindung
Subject:
BUSINESS INFORMATION SYSTEMS
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Database management
Subject:
Economics
Subject:
Language, literature and biography
Subject:
Engineering
Subject:
Management Information Systems
Subject:
Artificial Intelligence
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 1998
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
19
Publication Date:
20101215
Binding:
TRADE PAPER
Language:
English
Pages:
611
Dimensions:
235 x 155 mm 909 gr

Related Subjects

Business » High Tech Management
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Database » Applications
Computers and Internet » Database » Design
Computers and Internet » Software Engineering » Software Management
Science and Mathematics » Mathematics » Set Theory

Studies in Fuzziness and Soft Computing #19: Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems New Trade Paper
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Product details 611 pages Springer - English 9783790824599 Reviews:
"Synopsis" by , The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.
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