DocumentCode :
428755
Title :
WebCom Miner - a system of trends analysis for company products
Author :
Shang, Wenqian ; Zhu, Haibin ; Huang, Houkuan
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., China
Volume :
5
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
4084
Abstract :
With advances of the Web, e-commerce comes to flourish. More and more companies, governments and individuals publish their information on the Internet. How could a company survive in this virtual world? It´s an urgent problem to solve. So we design a novel mining system - WebCom Miner to help the company´s decision-maker to make a scientific decision-making. This work presents the architecture of the system, the function of every part of the system, along with the basic method. The aim is to support the decision-maker to make a proper decision-making. Each part of the system gives a report of trend analysis and the system gives a friendly interface and can communicate with the user. Even part of the system adopt different mining algorithm, ensuring the system to ruin in high efficiency and precision.
Keywords :
Internet; data mining; decision making; electronic commerce; information resources; Internet; WebCom Miner; data mining system; e-commerce; trend analysis; Business; Companies; Computer science; Data analysis; Data mining; Decision making; Government; Internet; Technological innovation; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1401170
Filename :
1401170
Link To Document :
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