The Resource Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems, edited by Lech Polkowski, Andrzej Skowron, (electronic resource)

Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems, edited by Lech Polkowski, Andrzej Skowron, (electronic resource)

Label
Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems
Title
Rough Sets in Knowledge Discovery 2
Title remainder
Applications, Case Studies and Software Systems
Statement of responsibility
edited by Lech Polkowski, Andrzej Skowron
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Polkowski, Lech
Image bit depth
0
LC call number
HF54.5-54.56
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Skowron, Andrzej
  • SpringerLink
Series statement
Studies in Fuzziness and Soft Computing,
Series volume
19
http://library.link/vocab/subjectName
  • Economics
  • Database management
  • Artificial intelligence
  • Management information systems
  • Economics/Management Science
  • Business Information Systems
  • Artificial Intelligence (incl. Robotics)
  • Database Management
Label
Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems, edited by Lech Polkowski, Andrzej Skowron, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
X, 601 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783790818833
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-7908-1883-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-7908-1883-3
Label
Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems, edited by Lech Polkowski, Andrzej Skowron, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
X, 601 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783790818833
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-7908-1883-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-7908-1883-3

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