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2010, ISBN: 3642100627
[EAN: 9783642100628], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], COMPUTATIONALINTELLIGENCE; COMPUTER-AIDEDDESIGN(CAD); EVOLUTION; FUZZY; ROUGHSETRESEARCH; ALGORITHMS; CLASSIFIC… Más…
ISBN: 9783642100628
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… Más…
2010
ISBN: 3642100627
Pasta dura
Softcover reprint of hardcover 1st ed. 2009 Kartoniert / Broschiert Computer-Aided Design (CAD), Künstliche Intelligenz, ComputationalIntelligence; computer-aideddesign(CAD); evolution;… Más…
2010, ISBN: 3642100627
Pasta dura
Softcover reprint of hardcover 1st ed. 2009 Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:Springer Berlin Heidelberg; Springer Berlin]
2009, ISBN: 3642100627
Pasta dura
Rough Set Theory: A True Landmark in Data Analysis ab 208.49 € als Taschenbuch: Softcover reprint of hardcover 1st ed. 2009. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet, Spring… Más…
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Detalles del libro - Rough Set Theory by Ajith Abraham Paperback | Indigo Chapters
EAN (ISBN-13): 9783642100628
ISBN (ISBN-10): 3642100627
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Ajith Abraham
340 Páginas
Peso: 0,515 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2011-05-04T15:15:30-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-05-03T04:19:31-06:00 (Mexico City)
ISBN/EAN: 9783642100628
ISBN - escritura alterna:
3-642-10062-7, 978-3-642-10062-8
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: abraham, rafael, falcon, bello
Título del libro: set theory, true
Datos del la editorial
Autor: Ajith Abraham; Rafael Falcón; Rafael Bello
Título: Studies in Computational Intelligence; Rough Set Theory: A True Landmark in Data Analysis
Editorial: Springer; Springer Berlin
324 Páginas
Año de publicación: 2010-10-28
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 324 p.
BC; Hardcover, Softcover / 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; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering Applications; Artificial Intelligence; 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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