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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Study and Application of Web-based Data Mining in E-Business
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Yanguang Shen, Lili Xing, Yiting Peng, "Study and Application of Web-based Data Mining in E-Business," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 812-816, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.117,
author = {Yanguang Shen and Lili Xing and Yiting Peng},
title = {Study and Application of Web-based Data Mining in E-Business},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {812-816},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.117},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Study and Application of Web-based Data Mining in E-Business
SN - 0-7695-2909-7
SP812
EP816
A1 - Yanguang Shen,
A1 - Lili Xing,
A1 - Yiting Peng,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Yanguang Shen, Hebei University of Engineering, China
Lili Xing, Hebei University of Engineering, China
Yiting Peng, National Natural Science Foundation of China
The paper is engaged in a discussion over applications of Web mining to the intelligent search engine, customer relationship management, personalized service and commercial credit evaluation in e-business. And analysis and reasoning of the mass of information in e-business are made by the technology of Web mining, which can dig out potential modes and predict customers' action, to help enterprises? decision-makers adjust their marketing strategy, reduce the risk, make right decisions and get competitive advantage.
Citation:
Yanguang Shen, Lili Xing, Yiting Peng, "Study and Application of Web-based Data Mining in E-Business," snpd, vol. 1, pp.812-816, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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