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Rough Set Theory: A True Landmark in Data Analysis - Springer
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Rough Set Theory: A True Landmark in Data Analysis - new book

2008, ISBN: 9783540899211

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edite… More...

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Rough Set Theory: A True Landmark in Data Analysis - Bertrand Meyer
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Bertrand Meyer:

Rough Set Theory: A True Landmark in Data Analysis - new book

ISBN: 9783540899211

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edite… More...

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Rough Set Theory: A True Landmark in Data Analysis
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ISBN: 9783540899211

Rough Set Theory: A True Landmark in Data Analysis ab 203.49 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik, Medien > Bücher, Rough Set Theory: A True Landmark… More...

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Rough Set Theory: A True Landmark in Data Analysis
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Rough Set Theory: A True Landmark in Data Analysis - new book

ISBN: 9783540899211

Rough Set Theory: A True Landmark in Data Analysis: ab 203.49 € eBooks > Sachthemen & Ratgeber > Technik Springer-Verlag GmbH, Springer-Verlag GmbH

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Rough Set Theory: A True Landmark in Data Analysis - Ajith Abraham; Rafael Falcón; Rafael Bello
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Ajith Abraham; Rafael Falcón; Rafael Bello:
Rough Set Theory: A True Landmark in Data Analysis - new book

2009, ISBN: 9783540899211

eBooks, eBook Download (PDF), 2009, [PU: Springer Berlin], Springer Berlin, 2009

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Rough Set Theory: A True Landmark in Data Analysis
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3540899219

Details of the book - Rough Set Theory: A True Landmark in Data Analysis


EAN (ISBN-13): 9783540899211
ISBN (ISBN-10): 3540899219
Publishing year: 2009
Publisher: Springer Berlin
16 Pages
Language: eng/Englisch

Book in our database since 2011-07-09T16:06:24+01:00 (London)
Detail page last modified on 2022-10-13T06:42:57+01:00 (London)
ISBN/EAN: 3540899219

ISBN - alternate spelling:
3-540-89921-9, 978-3-540-89921-1
Alternate spelling and related search-keywords:
Book author: falco, abraham, rafael, bello
Book title: the landmark, data, set theory

Information from Publisher

Author: Ajith Abraham; Rafael Falcón; Rafael Bello
Title: Studies in Computational Intelligence; Rough Set Theory: A True Landmark in Data Analysis
Publisher: Springer; Springer Berlin
324 Pages
Publishing year: 2008-12-23
Berlin; Heidelberg; DE
Language: English
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XVI, 324 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Computer-Aided Design (CAD); Verstehen; Computational Intelligence; Computer-Aided Design (CAD); Evolution; Fuzzy; Rough Set Research; algorithms; classification; data mining; evolutionary computation; genetic algorithms; heuristics; intelligence; knowledge; knowledge-based system; C; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering Applications; Artificial Intelligence; Engineering; Mathematik für Ingenieure; Künstliche Intelligenz; BB

Theoretical Contributions to Rough Set Theory.- Rough Sets on Fuzzy Approximation Spaces and Intuitionistic Fuzzy Approximation Spaces.- Categorical Innovations for Rough Sets.- Granular Structures and Approximations in Rough Sets and Knowledge Spaces.- On Approximation of Classifications, Rough Equalities and Rough Equivalences.- Rough Set Data Mining Activities.- Rough Clustering with Partial Supervision.- A Generic Scheme for Generating Prediction Rules Using Rough Sets.- Rough Web Caching.- Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs.- Rough Hybrid Models to Classification and Attribute Reduction.- Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem.- Nature Inspired Population-Based Heuristics for Rough Set Reduction.- Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis.
Reports recent research results in rough set research Includes supplementary material: sn.pub/extras

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