Web Usage Mining of Brief Intelligence Collection System Based on Competitive Intelligence

被引：0

作者：

Liu, Bing ^{[1
]}

Li, Hongxia ^{[2
]}

Zhang, Zhongping ^{[3
]}

Song, Xiaohui ^{[3
]}

Wang, Nan ^{[4
]}

Fu, Pengbo ^{[5
]}

机构：

[1] Zhejiang Univ Sci & Technol, Hangzhou, Zhejiang, Peoples R China

[2] Shanghai Jiao Tong Univ, Kayuan Law Sch, Shanghai, Peoples R China

[3] Yanshan Univ, Coll Informat Sci & Engn, Qinhuangdao, Hebei, Peoples R China

[4] Zhejiang Univ Sci & Technol, Sch Econ & Management, Hangzhou, Zhejiang, Peoples R China

[5] Univ Toronto, Chem Engn & Appl Chem, Toronto, ON, Canada

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VIII | 2010年

关键词：

library; system; web usage mining; maximum frequent set; competitive intelligence;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To meet the increasing information needs for competitive intelligence due to the social and economic development, a new professional working platform called brief intelligence collection system, which can automatically organize and arrange the information according to users' interest, is established making use of network transmission technology. The powerful competitive intelligence platform, which has the same function as the rich database and rapidly responsive professionals, is the basis and guarantee of the professional competitive intelligence products and services. The Mining Algorithm of Maximum Frequent Set is put forward, the results show that it significantly improves and enhances the execution efficiency as compared with other algorithms. The Web usage mining of brief intelligence collection system based on competitive intelligence will help us to build a sustainable service system and will be of great significance to the demands of different industries.

引用

页码：160 / 163

页数：4

共 9 条

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