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Predictive Data Mining: a practical guide (The Morgan Kaufmann Series in Data Management...
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by Nitin Indurkhya
Sales Rank: 836181
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List Price: $62.95
$45.96
At Amazon
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Paperback: 228 pages
Publisher: Morgan Kaufmann; 1 edition August 15, 1997
Language: English
ISBN-10: 1558604030
ISBN-13: 978-1558604032
Product Dimensions:
8.9 x 6 x 0.6 inches
Shipping Weight: 14.1 ounces
Product Review
Data mining is a hot technology, and this short, authoritative guide shows how it works and why it is gaining ground in the worlds of finance, manufacturing, marketing, and health care. The book begins by exploring the links between "big data"--the data warehouse built up of multiple databases--and traditional statistics. (The authors defend the methods of big data against traditional statistics, which has usually relied on smaller samples. However, they also look at the sources of error in both disciplines.)
The authors then look at the nuts and bolts of the data-mining process. They show how data must be prepared--sometimes reduced--in order to be manageable, and they define the important features. They show how the actual analysis of data mining can be as simple as adding up scores for selected features or how it can use statistical methods or even neural networks. (For some problems, the features themselves aren't known ahead of time; data mining can be used to discover these features automatically.) The authors then discuss how to interpret the results of analysis so that predictions can be made for new cases based on old ones.
The book concludes with short scenarios of how data mining can be applied, with examples drawn from manufacturing, health care, marketing, and publishing. The authors show the strengths--and limits--of data mining and argue that faster hardware and greater database storage capabilities will make this technology more widely used. Though it is written by two researchers in the field, Predictive Data Mining is suitable for general readers who are interested in the topic. --Richard V. Dragan
Product Review
"I enjoy reading PREDICTIVE DATA MINING. It presents an excellent perspective on the theory and practice of data mining. It can help educate statisticians to build alliances between statisticians and data miners." --Emanuel Parzen, Distinguished Professor of Statistics, Texas A&M University
"I enjoy reading PREDICTIVE DATA MINING. It presents an excellent
perspective on the theory and practice of data mining. It can help
educate statisticians to build alliances between statisticians and
data miners."
Emanuel Parzen, Distinguished Professor of Statistics, Texas A&M University -- Review
Customer Reviews & Comments
If you are new to data mining, you probably won't grab a global view of it with this book. According to the authors, it is not the objective, they want it to be a practical guide. Well, it's not! On the other hand, if you know about modelling, predictive methods and try to build data mining solutions in your work environment, you will probably feel that the book is kind of useless. The hot hints they are supposed to give you are pretty straightforward and will be better learned by experience on a database. Nothing of what I read in this book was rated 'Waow'! I was disapointed.
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Predictive Data Mining: a practical guide (The Morgan Kaufmann Series in Data Management...
List Price: $62.95
Available from Amazon
Price: $45.96
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