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Data Warehousing and Data Mining Techniques for Cyber Security by Anoop Singhal at Abbey's Bookshop,
Data Warehousing and Data Mining Techniques for Cyber Security
— —
Anoop Singhal

Data Warehousing and Data Mining Techniques for Cyber Security

Anoop Singhal

$260.95   $208.95

Hardback

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English
Springer-Verlag New York Inc.
13 December 2006
Data warehousing; Data mining; Computer security; Data encryption; Network security
Series: Advances in Information Security
Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important.

Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few.

Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.

 
By:  
Imprint:   Springer-Verlag New York Inc.
Country of Publication:   United States
Edition:   2007 ed.
Volume:   31
Dimensions:   Height: 235mm,  Width: 156mm,  Spine: 11mm
Weight:   950g
ISBN:   9780387264097
ISBN 10:   0387264094
Series:   Advances in Information Security
Pages:   159
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Reviews for Data Warehousing and Data Mining Techniques for Cyber Security

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