![Scalable Fuzzy Algorithms For Data Management And Analysis](http://prodimage.images-bn.com/pimages/9781605668581_p0_v1_s192x300.jpg)
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,
… See more details belowOverview
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
Customer Reviews
Average Review: