The web software mining based on vector space model

Author

Wang, Feijie ; Bai, Zhongying

Author_Institution

Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

14-17 Oct. 2009

Firstpage

275

Lastpage

279

Abstract

The article designed a Web software mining system, discussed the techniques what used in the system and raised the solutions for issues in system. A Web crawler software has been designed and implemented according to the feature of the World Wide Web. Base on the information present by Web pages, the article improved feature selection method and key words weighted algorithm using Web text mining techniques and achieved a highly precise and efficient information mining. Finally the article used the improved mining algorithm to make a classification and clustering to Web crawler software.

Keywords

Internet; data mining; text analysis; Web crawler software; Web pages; Web software mining; Web text mining; World Wide Web; feature selection method; key words weighted algorithm; vector space model; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Crawlers; Data mining; Dictionaries; Software algorithms; Software design; Software systems; Spatial databases; classification; feature selection; web mining; word segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Information Networks, 2009. ICFIN 2009. First International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5158-6

Electronic_ISBN

978-1-4244-5159-3

Type

conf

DOI

10.1109/ICFIN.2009.5339603

Filename

5339603