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

by Anne Laurent, Marie-Jeanne Lesot

Overview

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.

Product Details

ISBN-13:	9781605668581
Publisher:	IGI Global
Publication date:	10/31/2009
Series:	Premier Reference Source
Pages:	468
Product dimensions:	8.60(w) x 11.20(h) x 1.20(d)