229,40 €
254,89 €
-10% with code: EXTRA
Data Warehousing and Data Mining Techniques for Cyber Security
Data Warehousing and Data Mining Techniques for Cyber Security
229,40
254,89 €
  • We will send in 10–14 business days.
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…
  • Publisher:
  • ISBN-10: 0387264094
  • ISBN-13: 9780387264097
  • Format: 16.6 x 23.6 x 1.5 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Data Warehousing and Data Mining Techniques for Cyber Security (e-book) (used book) | bookbook.eu

Reviews

Description

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.

EXTRA 10 % discount with code: EXTRA

229,40
254,89 €
We will send in 10–14 business days.

The promotion ends in 21d.00:07:02

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 2,55 Book Euros!?
  • Author: Anoop Singhal
  • Publisher:
  • ISBN-10: 0387264094
  • ISBN-13: 9780387264097
  • Format: 16.6 x 23.6 x 1.5 cm, hardcover
  • Language: English English

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.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)