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

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

Anne Laurent (LIRMM, University Montpellier 2, France) and Marie-Jeanne Lesot (LIP6, University Paris 6, France)
Indexed In: SCOPUS
Release Date: October, 2009|Copyright: © 2010 |Pages: 466
DOI: 10.4018/978-1-60566-858-1
ISBN13: 9781605668581|ISBN10: 1605668583|EISBN13: 9781605668598
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Electronic hardware for fuzzy computation
  • Fuzzy association rules in large databases
  • Fuzzy clustering
  • Fuzzy logic techniques in real world environments
  • Fuzzy video mining
  • Human focused summarizing statistics
  • Linguistic data summarization
  • Mining association rules
  • Prototype theory model of linguistic query evaluation
  • Scalable reasoning with tractable fuzzy ontology languages
Reviews & Statements

This book includes success stories based on fuzzy logic that address real-world challenges to handle huge amounts of data for practical tasks.

– Anne Laurent, LIRMM, France
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Editor/Author Biographies
Anne Laurent has been an assistant professor at the LIRMM lab since September 2003. As a member of the TATOO group, she works on data mining, OLAP Mining, sequential pattern mining, tree mining, stream mining both for trends and exceptions detections and is particularly interested in the study of the use of fuzzy logic to provide more valuable results, while remaining scalable. Anne Laurent has numerous collaborations with companies, including small and big businesses. She serves as reviewer in the main conferences and journals related to data mining and fuzzy logic.
Marie-Jeanne Lesot obtained her PhD from the University Pierre and Marie Curie in 2005 and since 2006 she is an associate professor in the department of Computer Science of Paris 6 (LIP6) and member of the Machine Learning and Information Retrieval (MALIRE) department. Her research interests include fuzzy machine learning, in particular fuzzy clustering, typicality and fuzzy prototypes, and similarity measures.
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Editorial Advisory Board
TENTATIVE

List of Reviewers

  • Sadok Ben Yahia, Faculty of Sciences of Tunis, Tunisia
  • Sandra Bringay, LIRMM, Univ Montpellier 3, France
  • Guillaume Cleuziou, LIFO, Orléans University, France
  • Thanh Ha Dang, LIP6, University of Paris 6, France
  • Federico Del Razo Lopez, Instituto Tecnológico de Toluca, Mexico
  • Nicolas Labroche, LIP6, University of Paris 6, France
  • Dominique Laurent, ETIS, Cergy-Pontoire University, France
  • Cécile Low Kam, LIRMM, Univ Montpellier 2, France
  • Christophe Marsala, LIP6, University of Paris 6, France
  • Jordi Nin Guerrero, CSIC, Spanish National Research Council, Spain
  • Yoann Pitarch, LIRMM, Univ Montpellier 2, France
  • Marc Plantevit, GREYC, Université de Basse-Normandie, France
  • Pascal Poncelet, LIRMM, Univ Montpellier 2, France
  • Julien Rabatel, LIRMM, Univ Montpellier 2, France
  • Chedy Raïssi, National University of Singapore, Singapore
  • Liva Ralaivola, LIF, Université de la Méditerranée, France
  • Maria Rifqi, LIP6, University of Paris 6, France
  • Mathieu Roche, LIRMM, Univ Montpellier 2, France
  • Fatiha Saïs, LRI, Univ Orsay, France
  • Paola Salle, LIRMM, Univ Montpellier 2, France
  • Maguelonne Teisseire, CEMAGREF Montpellier, France