DocumentCode :
2919396
Title :
The Application of Web Data Mining Technique in Competitive Intelligence System of Enterprise Based on XML
Author :
Ting, Chen ; Xiao, Niu ; Weiping, Yang
Author_Institution :
Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Volume :
2
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
396
Lastpage :
399
Abstract :
In order to response the increased competition, improve the correctness and timeliness of decision-making, enterprises need to make efficient data analysis techniques and methods used in competitive intelligence system. XML combines with Web data mining technology can effectively solve many problems faced by Web data mining, significantly improve the efficiency and effect of collection and analysis of competitive intelligence system of enterprise. Then help enterprises win the competitive advantage. Based on the analysis of the existed problems of data mining under web environment, this paper brief introduces competitive intelligence system, XML and Web data mining technology, focused on the specific application and the process of realization of XML and Web data mining technology in competitive intelligence system. Due to the study of this paper, it will provide a reference for the construction and implementation of competitive intelligence system of enterprise based on XML and Web data mining technology.
Keywords :
Internet; XML; business data processing; competitive intelligence; data mining; enterprise resource planning; Web data mining; XML; competitive intelligence system; data analysis; enterprise competition; Competitive intelligence; Data analysis; Data mining; Decision making; Electronic mail; Information analysis; Internet; Search engines; Spatial databases; XML; XML; competitive intelligence system; web data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.44
Filename :
5369542
Link To Document :
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