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Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence)
 
 
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Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) [Paperback]

Usama M. Fayyad (Editor), Gregory Piatetsky-Shapiro (Editor), Padhraic Smyth (Editor), Ramasamy Uthurusamy (Editor)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

American Association for Artificial Intelligence February 1, 1996

Advances in Knowledge Discovery and Data Mining brings together the latest research -- in statistics, databases, machine learning, and artificial intelligence -- that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining. Topics covered include fundamental issues, classification and clustering, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, and application case studies. The contributors include leading researchers and practitioners from academia, government laboratories, and private industry.The last decade has seen an explosive growth in the generation and collection of data. Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with data and generated an urgent need for new techniques and tools that can intelligently and automatically assist in transforming this data into useful knowledge. This book is a timely and comprehensive overview of the new generation of techniques and tools for knowledge discovery in data.Distributed for AAAI Press


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Editorial Reviews

About the Author

Gregory Piatetsky-Shapiro is Senior Member of Technical Staff and Principal Investigator of the Knowledge Discovery Project at GTE Laboratories.

Product Details

  • Paperback: 560 pages
  • Publisher: AAAI Press (February 1, 1996)
  • Language: English
  • ISBN-10: 0262560976
  • ISBN-13: 978-0262560979
  • Product Dimensions: 9 x 6.1 x 1.4 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,250,983 in Books (See Top 100 in Books)

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5.0 out of 5 stars (2 customer reviews)
 
 
 
 
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1 of 2 people found the following review helpful:
5.0 out of 5 stars Primer++, February 27, 2009
By 
Sameer Yami (Silicon Valley, CA, USA) - See all my reviews
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This review is from: Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) (Paperback)
This book has a bunch of papers in various fields associated with datamining and thus provides a very good primer to people who want to understanding datamining and then go into the details as the need arises.
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29 of 63 people found the following review helpful:
5.0 out of 5 stars An excellent book., December 11, 1997
By A Customer
This review is from: Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) (Paperback)
I read a lot of papers from this book. And I read twice and twice a lot of them. This is a book to the professional and to the novice in data mining (d.m.). In it you take a general view from data mining and the particular one you pretend because you can see papers from "what is d.m.", "how to use d.m.", "d.m. techniques", "d.m. and visualization", "applications from d.m.", "d.m. tools", "advances in d.m.", "the future and d.m.".
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Inside This Book (learn more)
First Sentence:
In the last decade, we have seen an explosive growth in our capabilities to both generate and collect data. Read the first page
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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