DocumentCode :
2785360
Title :
A filtering algorithm of no backtracking key phrase set for real-time information monitoring
Author :
Jian, Huang ; Jun, Li ; Liyong, Ren ; Mengshu, Hou
Author_Institution :
Coll. of Software Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
fYear :
2009
fDate :
23-25 Oct. 2009
Firstpage :
144
Lastpage :
147
Abstract :
This paper presents a high-performance No Backtracking Key Phrase Set Matching Method, NBKPSMM for short, which realizes the real-time filtering of network information. NBNBKPSMM can realize the high efficient filtering of key phrase set, which has better performance than traditional string matching method. Using the NBKPSMM presented in this paper can realize a real-time filtering system of network information with high performance. The performance comparison experiment in this paper proves NBKPSMM has greatly improved over traditional algorithm.
Keywords :
filtering theory; information filters; security of data; string matching; tree searching; filtering algorithm; network information; no backtracking key phrase set matching method; real-time information monitoring; string matching method; Computerized monitoring; Condition monitoring; Educational institutions; Electronic mail; Filtering algorithms; Information filtering; Information filters; Local area networks; Matched filters; Real time systems; No Backtracking; Real-time Information Monitoring; Set Matching; String Stream Filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
Type :
conf
DOI :
10.1109/ICACIA.2009.5361132
Filename :
5361132
Link To Document :
بازگشت