Title :
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
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;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.348
