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Foundations and Novel Approaches in Data Mining [Paperback]

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  • Category: Books (Mathematics)
  • ISBN-10:  364206650X
  • ISBN-10:  364206650X
  • ISBN-13:  9783642066504
  • ISBN-13:  9783642066504
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  378
  • Pages:  378
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  364206650X-11-SPRI
  • SKU:  364206650X-11-SPRI
  • Item ID: 100781650
  • List Price: $169.99
  • Seller: ShopSpell
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  • Delivery by: Jan 30 to Feb 01
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Data-mining has become a popular research topic in recent years for the treatment of the data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

Data-mining has become a popular research topic in recent years for the treatment of the data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

From the contents Part I: Theoretical Foundations. Commonsense Causal Modeling in the Data Mining Context. Definability of Association Rules in Predicate Calculus. A Measurl“;
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