Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
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Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data modeling and data mining. ... Google Books
Originally published: 2009
Scalable Fuzzy Algorithms for Data Management and Analysis ...
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Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight the relevance ...
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents up-to-date techniques for addressing data management problems with ...
Scalable Fuzzy Algorithms for Data Management and Analysis
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Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight the relevance ...
... Data. Scalable fuzzy algorithms for data management and analysis : methods and design / Anne Laurent and Marie-Jeanne Lesot, editors. p. cm. Includes ...
Scalable Fuzzy Algorithms for Data Management and Analysis
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Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight the relevance ...
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Desig-, ; Condition. Brand New ; Quantity. 3 available ; Item Number. 315107010646.
Anne Laurent, Marie-Jeanne Lesot: Scalable Fuzzy Algorithms for Data Management and Analysis - Methods and Design. IGI Global 2009, ISBN 978-1-60566-858-1.
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Oct 31, 2009 · Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight ...
Title: Scalable Fuzzy Algorithms for Data Management and Analysis Methods and Design ; Authors: Laurent, Anne ; Keywords: Data Management ; Issue Date: 2010.
Scalable Fuzzy Algorithms for Data Management and Analysis
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Scalable Fuzzy Algorithms for Data Management and Analysis is written by Anne Laurent and published by Information Science Reference.
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