Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects
Language: English
Published by Morgan Kaufmann, 2014
- First Edition
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
US$ 73.12
Quantity: 10 available
Add to basketItem description from seller
2014. 1st Edition. paperback. . . . . .
Seller Inventory # V9780124166028
- Title
- Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects
- Author
- Nettleton, David
- Publisher
- Morgan Kaufmann
- Publication year
- 2014
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0124166024
- ISBN 13
- 9780124166028
- Edition
- 1st Edition
Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.
- Illustrates cost-benefit evaluation of potential projects
- Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools
- Approachable reference can be read from cover to cover by readers of all experience levels
- Includes practical examples and case studies as well as actionable business insights from author's own experience
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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