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Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman &
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Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Hardback - 2012 - 1st Edition

by Guozhu Dong (Editor); James Bailey (Editor)

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Chapman and Hall/CRC. Used - Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
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Details

  • Title Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
  • Author Guozhu Dong (Editor); James Bailey (Editor)
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 434
  • Volumes 1
  • Language ENG
  • Publisher Chapman and Hall/CRC, Boca Raton, FL, U.S.A.
  • Publication date 2012-09-07
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # Z1-W-009-01383
  • ISBN 9781439854327 / 1439854327
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.2 x 6.2 x 1.2 in (23.37 x 15.75 x 3.05 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Business / Economics / Finance
  • Library of Congress subjects BUSINESS & ECONOMICS / Statistics, COMPUTERS / Database Management / Data Mining
  • Library of Congress Catalogue Number 2012025085
  • Dewey Decimal Code 006.312

About Phatpocket Limited Essex, United Kingdom

Specialising in: A-Level Textbooks, Gcse Textbooks, General Textbooks, University Textbooks
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Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books.

We are dedicated to providing our customers with the highest standard of customer service in the bookselling business.

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Books are usually shipped in 48 hours or less. All of our books have a 14 day no hassle money back guarantee unless stated otherwise in the book's description. Item must be returned in the exact same condition that it was received. Through our work with The Rainbow Centre and other Charity Partners, we have already given hundreds of young people in Sri Lanka and Africa the vital chance to get an education.

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From the publisher

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains.

Learn from Real Case Studies of Contrast Mining ApplicationsIn this volume, researchers from around the world specializing in architecture engineering, bioinformatics, computer science, medicine, and systems engineering focus on the mining and use of contrast patterns. They demonstrate many useful and powerful capabilities of a variety of contrast mining techniques and algorithms, including tree-based structures, zero-suppressed binary decision diagrams, data cube representations, and clustering algorithms. They also examine how contrast mining is used in leukemia characterization, discriminative gene transfer and microarray analysis, computational toxicology, spatial and image data classification, voting analysis, heart disease prediction, crime analysis, understanding customer behavior, genetic algorithms, and network security.

About the author

Guozhu Dong is a professor at Wright State University. A senior member of the IEEE and ACM, Dr. Dong holds four U.S. patents and has authored over 130 articles on databases, data mining, and bioinformatics; co-authored Sequence Data Mining; and co-edited Contrast Data Mining and Applications. His research focuses on contrast/emerging pattern mining and applications as well as first-order incremental view maintenance. He has a PhD in computer science from the University of Southern California.

James Bailey is an Australian Research Council Future Fellow in the Department of Computing and Information Systems at the University of Melbourne. Dr. Bailey has authored over 100 articles and is an associate editor of IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems: An International Journal. His research focuses on fundamental topics in data mining and machine learning, such as contrast pattern mining and data clustering, as well as application aspects in areas, including health informatics and bioinformatics. He has a PhD in computer science from the University of Melbourne.

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