Book Details
- Hardcover: 272 pages
- Publisher: Auerbach Publications; 1 edition (June 18, 2009)
- Language: English
- ISBN-10: 1420045903
- ISBN-13: 978-1420045901
Focusing on three applications of data mining,
Design and Implementation of Data Mining Tools explains
how to create and employ systems and tools for intrusion detection, Web
page surfing prediction, and image classification. Mainly based on the
authors’ own research work, the book takes a practical approach to the
subject.
The first part of the book reviews data mining
techniques, such as artificial neural networks and support vector
machines, as well as data mining applications. The second section covers
the design and implementation of data mining tools for intrusion
detection. It examines various designs and performance results, along
with the strengths and weaknesses of the approaches. The third part
presents techniques to solve the WWW prediction problem. The final part
describes models that the authors have developed for image
classification.
Showing step by step how data mining
tools are developed, this hands-on guide discusses the performance
results, limitations, and unique contributions of data mining systems.
It provides essential information for technologists to decide on the
tools to select for a particular application, for developers to focus on
alternative designs if an approach is unsuitable, and for managers to
choose whether to proceed with a data mining project.
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