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

Laurent, Anne; Lesot, Marie-Jeanne

 
9781605668581: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design (Premier Reference Source)

Sinopsis

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.

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Reseña del editor

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 both a theoretical and experimental point of view.

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