Overview

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.

Full Product Details

Author:   Lech Polkowski
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of hardcover 1st ed. 1998
Volume:   19
Dimensions:   Width: 15.50cm , Height: 3.10cm , Length: 23.50cm
Weight:   0.926kg
ISBN:  

9783790824599

ISBN 10:   3790824593
Pages:   601
Publication Date:   21 October 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introducing the Book.- 1. Applications.- 2. Rough Approximation of a Preference Relation in a Pairwise Comparison Table.- 3. Learning Decision Rules from Similarity Based Rough Approximations.- 4. Discovery of Data Patterns with Applications to Decomposition and Classification Problems.- 5. Answering Non-Standard Queries in Distributed Knowledge-Based Systems.- 6. Approximation Spaces, Reducts and Representatives.- 7. Data Mining: A Probabilistic Rough Set Approach.- 2: Case Studies.- 8. Soft Processing of Audio Signals.- 9. A Rough Set Approach to Information Retrieval.- 10. Extraction Method Based on Rough Set Theory of Rule-Type Knowledge from Diagnostic Cases of Slope-Failure Danger Levels.- 11. Soft Computing-Based Recognition of Musical Sounds.- 12. Rough Sets in Industrial Applications.- 13. Rough Sets in Economic Applications.- 14. Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis.- 15. Reduction Methods for Medical Data.- 16. Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory.- 17. Rough Sets for Database Marketing.- 18. A New Halftoning Method Based on Error Diffusion with Rough Set Filtering.- 3: Hybrid Approaches.- 19. IRIS Revisited: A Comparison of Discriminant and Enhanced Rough Set Data Analysis.- 20. Applications of Rough Patterns.- 21. Time and Clock Information Systems: Concepts and Roughly Fuzzy Petri Net Models.- 22. The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems.- 23. Rough Sets and Artificial Neural Networks.- 24. Genetic Algorithms in Decomposition and Classification Problems.- Appendix 1: Rough Set Bibliography.- Selected Bibliography on Rough Sets.- Appendix 2: Software Systems.- GROBIAN.- RSDM: Rough sets Data Miner, A System to Add Data Mining Capabilities to RDBMS.- LERS — A Knowledge Discovery System.- TRANCE: A Tool for Rough Data Analysis, Classification, and Clustering.- ProbRough — A System for Probabilistic Rough Classifiers Generation.- The ROSETTA Software System.- RSL — The Rough Set Library.- Rough Family — Software Implementation of the Rough Set Theory.- TAS: Tools for Analysis and Synthesis of Concurrent Processes Using Rough Set Methods.- RoughFuzzyLab — A System for Data Mining and Rough and Fuzzy Sets Based Classification.- PRIMEROSE.- KDD-R: Rough Sets-Based Data Mining System.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions