Data Warehousing and Data Mining Techniques for Cyber Security
Language: English
Published by Springer, 2006
- Hardcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
AbeBooks seller since September 10, 2024
Condition: New
US$ 189.94
Quantity: 4 available
Add to basketItem description from seller
PRINT ON DEMAND pp. 180.
Seller Inventory # 18482909
- Title
- Data Warehousing and Data Mining Techniques for Cyber Security
- Author
- Singhal Anoop
- Publisher
- Springer
- Publication year
- 2006
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387264094
- ISBN 13
- 9780387264097
- Series
- Book 25 of 109: 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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Biblios
frankfurt am main, hessen, Germany
AbeBooks seller since September 10, 2024
Shipping rates from Germany to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 11.15 | US$ 20.95 |
Payment methods
Store description
We carry a wide selection of books from South Asia, United States, UK.
Specialty
new books imported from india, uk, usaSeller's business information
Readingos GmbH
Kaiserstraße 47
Frankfurt am Main, Germany 60329
Shipping terms
To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.