We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Research on Data Attribute Reduction for Network Security Situation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wang Yanbo ; Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China ; Wang Huiqiang ; Wang Xiufeng ; Yu Ming

This paper firstly introduces the research object and key concept of rough set, the data reduction and classification is one of its core areas, Secondly analyzes the characteristics of rough set and limitations on data reduction, which usually is used jointly with other algorithm, and then introduce the rough set attribute reduction algorithm based on the original genetic algorithm, For the shortage of traditional algorithm, cross probability and variation probability and fitness function are further improved. Finally, the experiment proves the efficiency of improved algorithm is better than the traditional algorithm.

Published in:

Computer Science & Service System (CSSS), 2012 International Conference on

Date of Conference:

11-13 Aug. 2012