Scalable Fuzzy Algorithms For Data Management And Analysis

Scalable Fuzzy Algorithms For Data Management And Analysis

by Anne Laurent
     
 

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,

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Overview

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
Pages:
468
Product dimensions:
8.60(w) x 11.20(h) x 1.20(d)

Table of Contents

Ch. 1 Electronic Hardware for Fuzzy Computation 1

Ch. 2 Scaling Fuzzy Models 31

Ch. 3 Using Fuzzy Song Sets in Music Warehouses 54

Ch. 4 Mining Association Rules from Fuzzy DataCubes 84

Ch. 5 Scalable Reasoning with Tractable Fuzzy Ontology Languages 130

Ch. 6 A Random Set and Prototype Theory Model of Linguistic Query Evaluation 159

Ch. 7 A Flexible Language for Exploring Clustered Search Results 179

Ch. 8 Linguistic Data Summarization: A High Scalability through the Use of Natural Language? 214

Ch. 9 Human Focused Summarizing Statistics Using OWA Operators 238

Ch. 10 (Approximate) Frequent Item Set Mining Made Simple with a Split and Merge Algorithm 254

Ch. 11 Fuzzy Association Rules to Summarise Multiple Taxonomies in Large Databases 273

Ch. 12 Fuzzy Cluster Analysis of Larger Data Sets 302

Ch. 13 Fuzzy Clustering with Repulsive Prototypes 332

Ch. 14 Early Warning from Car Warranty Data using a Fuzzy Logic Technique 347

Ch. 15 High Scale Fuzzy Video Mining 365

Ch. 16 Fuzzy Clustering of Large Relational Bioinformatics Datasets 379

Compilation of References 400

Index 438

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