Research of Enterprise Competition Information Intelligent Collecting System Based on Rough Set

Author

Kefei, Yang ; Yu, Pan ; Bin, Hu ; Fang, Pan

Author_Institution

Coll. of Manage. Sci. & Eng., Nanjing Univ. of Technol., Nanjing, China

Volume

2

fYear

2009

fDate

19-21 May 2009

Firstpage

117

Lastpage

121

Abstract

According to the characteristics of incompleteness, contradictory and extensiveness of the enterprise competition information, rough set theory is used to guide the crawling of Web spider, the gathering efficiency of enterprise completion collection is improved by similarity class expansion and attributes reduction based on discrimination. The achievement of this research has already been applied to the practical construction of information management center of an enterprise so as to offer strategic basis for operation decision of the enterprise.

Keywords

Internet; business data processing; data mining; information centres; information retrieval; pattern classification; rough set theory; search engines; Web spider crawling; attribute reduction; data mining; enterprise competition information intelligent collection system; enterprise information management center; information gathering; rough set theory; similarity class expansion; strategic operation decision basis; Arm; Databases; Educational institutions; Information analysis; Intelligent systems; Search engines; Set theory; Software engineering; Technology management; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, 2009. WCSE '09. WRI World Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3570-8

Type

conf

DOI

10.1109/WCSE.2009.348

Filename

5319697