Data Mining
Concepts and Techniques
(Paperback)

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Data Mining imparts a clear understanding of the algorithms and techniques that can be used to structure large databases and then extract interesting patterns from them. "Written in a reader-friendly manner, the book begins with an introduction to the main analytical techniques used in data mining practices, providing a brief history along with a discussion of related fields such as statistics, pattern recognition, and artificial intelligence. The subsequent chapters are devoted to a thorough coverage of data mining concepts and techniques that include association analysis, classification techniques, clustering, and mining complex data objects. Detailed algorithms are presented with the necessary explanations, pseudo-codes, and analysis to ease their efficient implementation. Extending the discussion further, the book furnishes an overview of data warehousing, with an emphasis on its underlying architecture and query processing, followed by a few case studies to illustrate the practical aspects of the subject. The book concludes with a ten-point vision of the future of data mining. Supplemented with a number of simple illustrative examples and numerous exercises for each technique discussed, the text is ideal for classroom learning." Salient Features Supplies an exhaustive and detailed coverage of algorithms for data mining Lays emphasis on practical applications for all the theory presented Follows a clear and concise style, making it easy to grasp complex concept Provides case studies to bring out the applications of data mining concepts in real-life scenarios

Designed to serve as a textbook for undergraduate computer science engineering and MCA students, Data Mining: Concepts and Techniques imparts a clear understanding of the algorithms and techniques that can be used to structure large databases and then extract interesting patterns from them.

AuthorVikram Pudi
BindingPaperback
EAN9780195686289
EditionError
ISBN0195686284
Height945 mm
Length740 mm
Width63 mm
Weight115 g
LanguageEnglish
Language TypePublished
Number Of Items1
Number Of Pages512
Package Quantity3
Product GroupBook
Publication Date2009-01-12
PublisherOxford University Press
StudioOxford University Press
Sales Rank119798

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General information about Data Mining: Concepts and Techniques
  • The author associated with Data Mining: Concepts and Techniques is Vikram Pudi.
  • The EAN for Data Mining: Concepts and Techniques is 9780195686289.
  • The edition for Data Mining: Concepts and Techniques is Error.
  • The ISBN for Data Mining: Concepts and Techniques is 0195686284.
  • The height for Data Mining: Concepts and Techniques is 945 mm.
  • The length for Data Mining: Concepts and Techniques is 740 mm.
  • The width for Data Mining: Concepts and Techniques is 63 mm.
  • The weight for Data Mining: Concepts and Techniques is 115 g.
  • The language for Data Mining: Concepts and Techniques is English.
  • The binding of Data Mining: Concepts and Techniques is Paperback.
  • The number of items for Data Mining: Concepts and Techniques is 1.
  • The number of pages for Data Mining: Concepts and Techniques are 512.
  • The quantity for Data Mining: Concepts and Techniques in a package is 3.
  • Data Mining: Concepts and Techniques is grouped in Book group of products.
  • The publication date for Data Mining: Concepts and Techniques is 2009-01-12.
  • The publisher for Data Mining: Concepts and Techniques is Oxford University Press.
  • The producer for Data Mining: Concepts and Techniques is Oxford University Press.
  • The sales rank for Data Mining: Concepts and Techniques is 119798.
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