DocumentCode :
2309187
Title :
A MA-based Web document classification algorithm
Author :
Sun, Xia ; Wang, Ziqiang ; Zhang, Dexian
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
952
Lastpage :
955
Abstract :
The amount of online document has grown greatly in recent years due to the increase in popularity of the World Wide Web. Thus, developing an efficient document classification method to automatically manipulate Web document is of great importance. A novel memetic algorithm (MA)-based document classification algorithm is presented in this paper. The experimental results show that the proposed algorithm achieves much better performance than other related classification algorithms.
Keywords :
Internet; document handling; MA-based Web document classification; World Wide Web; memetic algorithm; Classification algorithms; Databases; Evolutionary computation; Genetic algorithms; Internet; Machine learning; Machine learning algorithms; Support vector machine classification; Support vector machines; Web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
Type :
conf
DOI :
10.1109/ITME.2008.4744008
Filename :
4744008
Link To Document :
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