Practical data mining
By: Hancock, Monte F
.
Publisher: Boca Raton CRC Taylor & Francis 2012Description: xxiii, 277p. | Binding - Paperback | 23*15.5 cm.ISBN: 9781439868362.Subject(s): Computer EngineeringDDC classification: 006.312 Summary: Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters.
Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as:
What process model should I use to plan and execute a data mining project?
How is a quantitative business case developed and assessed?
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Text Books
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School of Engineering & Technology Reference Section | Reference | 006.312 HAN (Browse shelf) | Available | E15164 |
Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters.
Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as:
What process model should I use to plan and execute a data mining project?
How is a quantitative business case developed and assessed?
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