Scalable Fuzzy Algorithms For Data Management and Analysis: Methods and Design by Anne LaurentScalable Fuzzy Algorithms For Data Management and Analysis: Methods and Design by Anne Laurent

Scalable Fuzzy Algorithms For Data Management and Analysis: Methods and Design

byAnne Laurent

Hardcover | October 31, 2009

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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. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative, cutting-edge fuzzy techniques that highlight the relevance of fuzziness for huge data sets in the perspective of scalability issues, from both a theoretical and experimental point of view. It covers a wide scope of research areas including data representation, structuring and querying as well as information retrieval and data mining. It encompasses different forms of databases, including data warehouses, data cubes, tabular or relational data, and many applications among which music warehouses, video mining, bioinformatics, semantic web and data streams.
Title:Scalable Fuzzy Algorithms For Data Management and Analysis: Methods and DesignFormat:HardcoverDimensions:380 pages, 9.41 × 7.24 × 0.98 inPublished:October 31, 2009Publisher:Igi GlobalLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1605668583

ISBN - 13:9781605668581

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