DocumentCode :
3043057
Title :
Incremental Learning In the Application of Intrusion Detection
Author :
Xiaorong, Zhu ; Dianchun, Wang ; Jin, Liu ; Wei, Tian
Author_Institution :
Dept. of Inf. Sci. & Technol., Taishan Coll., Taian, China
Volume :
3
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
549
Lastpage :
553
Abstract :
The paper summarizes the characteristics of the support vector set and its changes in the incremental learning process, analyzes the concept of the support vector classification and the relationship with the separate super plane, gives the improvement of the Syedpsilas method, and verifies the superiority of the algorithm through numerical experimentation.
Keywords :
learning (artificial intelligence); security of data; support vector machines; Syed´s method; incremental learning; intrusion detection; separate super plane; support vector classification; support vector set; Continuing education; Educational institutions; Educational technology; Information science; Intelligent systems; Intrusion detection; Paper technology; Support vector machine classification; Support vector machines; Testing; SVM; incremental learning; intrusion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.201
Filename :
5209089
Link To Document :
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