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Design and Implementation of Data Mining Tools

Af: Mamoun Awad, Lei Wang, Latifur Khan, Bhavani Thuraisingham Engelsk Hardback

Design and Implementation of Data Mining Tools

Af: Mamoun Awad, Lei Wang, Latifur Khan, Bhavani Thuraisingham Engelsk Hardback
Tjek vores konkurrenters priser

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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 274
ISBN-13: 9781420045901
Indbinding: Hardback
Udgave:
ISBN-10: 1420045903
Kategori: Softwareudvikling
Udg. Dato: 18 jun 2009
Længde: 0mm
Bredde: 156mm
Højde: 234mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 18 jun 2009
Forfatter(e): Mamoun Awad, Lei Wang, Latifur Khan, Bhavani Thuraisingham
Forfatter(e) Mamoun Awad, Lei Wang, Latifur Khan, Bhavani Thuraisingham

Kategori Softwareudvikling

ISBN-13 9781420045901

Sprog Engelsk

Indbinding Hardback

Sider 274

Udgave

Længde 0mm

Bredde 156mm

Højde 234mm

Udg. Dato 18 jun 2009

Oplagsdato 18 jun 2009

Forlag Taylor & Francis Ltd

Kategori sammenhænge