Scalable Fuzzy Algorithms for Data Management and Analysis - Methods and Design (Hardcover)

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.

General

Imprint:	Information Science Reference
Country of origin:	United States
Release date:	October 2009
First published:	October 2009
Editors:	Anne Laurent • Marie-Jeanne Lesot
Dimensions:	280 x 216 x 25mm (L x W x T)
Format:	Hardcover
Pages:	305
ISBN-13:	978-1-60566-858-1
Categories:	Books > Computing & IT > General theory of computing > General
LSN:	1-60566-858-3
Barcode:	9781605668581

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