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Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design (Premier Reference Source)

Anne Laurent, Marie-Jeanne Lesot




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 | #10075457 in Books |  Information Science Reference |  2009-11-02 | Original language:English | PDF # 1 |  11.02 x1.00 x8.50l,3.55 | File type: PDF | 444 pages

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||About the Author|Anne Laurent has been an assistant professor at the LIRMM lab since September 2003. As a member of the TATOO group, she works on data mining, OLAP Mining, sequential pattern mining, tree mining, stream mining both for trends and exception

Today, fuzzy methods are of common use as they provide tools to handle data sets in a relevant, robust, and interpretable way, making it possible to cope with both imprecision and uncertainties. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents up-to-date techniques for addressing data management problems with logic and memory use. This critical mass of the most sought after findings covers a wide scope of research areas from ...

You easily download any file type for your device.Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design (Premier Reference Source)   |  Anne Laurent, Marie-Jeanne Lesot. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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