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

Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, 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 an, Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design has a rating of 3 stars
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Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, 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 an, Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
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  • Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
  • Written by author Anne Laurent
  • Published by IGI Global, October 2009
  • 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 an
  • "This book presents up-to-date techniques for addressing data management problems with logic and memory use"--Provided by publisher.
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Book Categories

Authors

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