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Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence)From AAAI Press
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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
- Sales Rank: #1021807 in Books
- Published on: 1996-02-01
- Original language: English
- Number of items: 1
- Dimensions: 8.80" h x 1.40" w x 6.00" l, 1.88 pounds
- Binding: Paperback
- 560 pages
About the Author
Gregory Piatetsky-Shapiro is Senior Member of Technical Staff and Principal Investigator of the Knowledge Discovery Project at GTE Laboratories.
Most helpful customer reviews
29 of 63 people found the following review helpful.
An excellent book.
By A Customer
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.".
2 of 3 people found the following review helpful.
Primer++
By Sameer Yami
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.
0 of 0 people found the following review helpful.
Old conference proceedings
By Hairy Larry
This is an old, overpriced conference proceedings. There is no reason to purchase it as all the contents may be found for free on the web.
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