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Introduction to Data Mining and its Applications

Introduction to Data Mining and its Applications

Introduction to Data Mining and its Applications Hardback - 2006

by S. Sumathi

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary f
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Details

  • Title Introduction to Data Mining and its Applications
  • Author S. Sumathi
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 828
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2006-09-26
  • Bookseller's Inventory # ria9783540343509_inp
  • ISBN 9783540343509 / 3540343504
  • Weight 2.89 lbs (1.31 kg)
  • Dimensions 9.52 x 6.39 x 1.39 in (24.18 x 16.23 x 3.53 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2006926723
  • Dewey Decimal Code 006.312
  • Quantity available 557

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Reader reviews for Introduction to Data Mining and its Applications

From the publisher

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

First line

An enormous proliferation of databases in almost every area of human endeavor has created a great demand for new, powerful tools for turning data into useful, task-oriented knowledge.

From the rear cover

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

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