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Research and trends in data mining technologies and applications / David Taniar.

By: Material type: TextTextPublication details: Hershey : Idea Group Pub., c2007.Description: ix, 340 p. : ill. ; 26 cmISBN:
  • 9781599042718 (hardcover)
Subject(s): DDC classification:
  • 005.74 23 T164
Contents:
Chapter I: Combining data warehousing and data mining techniques for web log analysis-- Chapter II: Computing dense cubes embedded in sparse data-- Chapter III: Exploring similarities across high-dimensional datasets-- Chapter IV: Pattern comparison in data mining: a survey-- Chapter V: Mining frequent patterns using self-organizing map-- Chapter VI: An efficient compression technique for vertical mining methods-- Chapter VII: A tutorial on hierachical classification with applications in bioinformatics-- Chapter VIII: Topological analysis and sub-network mining of protein-protein interactions-- Chapter IX: Introduction to data mining techniques via multiple criteria optimization approaches and applications-- Chapter X: Linguistic rule extraction from support vector machine classifiers-- Chapter XI: Graph-based data mining-- Chapter XII: Facilitating and improving the use of web services with data mining-- About the authors-- Index.
Summary: "This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on applicability to real-world problems; it book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures and design offer answers and solutions"--Provided by publisher.
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Includes bibliographical references and index.

Chapter I: Combining data warehousing and data mining techniques for web log analysis--
Chapter II: Computing dense cubes embedded in sparse data--
Chapter III: Exploring similarities across high-dimensional datasets--
Chapter IV: Pattern comparison in data mining: a survey--
Chapter V: Mining frequent patterns using self-organizing map--
Chapter VI: An efficient compression technique for vertical mining methods--
Chapter VII: A tutorial on hierachical classification with applications in bioinformatics--
Chapter VIII: Topological analysis and sub-network mining of protein-protein interactions--
Chapter IX: Introduction to data mining techniques via multiple criteria optimization approaches and applications--
Chapter X: Linguistic rule extraction from support vector machine classifiers--
Chapter XI: Graph-based data mining--
Chapter XII: Facilitating and improving the use of web services with data mining--

About the authors--
Index.

"This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on applicability to real-world problems; it book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures and design offer answers and solutions"--Provided by publisher.

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