DocumentCode :
3464944
Title :
Data Mining Technology and its Application in Electronic Commerce
Author :
Liu Xinying ; Wang Peizhi
Author_Institution :
Sch. of Int. Econ. & Trade, Jinan
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
As data collection and data storage rates are growing at an exponential pace in the business world in this information age, data mining is becoming a key component of electronic commerce. Trends shows definitely that future decision making system in e-commerce would weigh on even quicker and more reliable technology used for data analysis. Confronted with huge mountains of data in business transactions, we need to make better managerial choices. These needs are extraction of the "essence" of information stored, automatic classification and clustering as well as partition of data and the discovery of business intelligence and knowledge through data mining. This paper starts with a short survey of data mining and subsequently we probe into the application of data mining in e-commerce.
Keywords :
competitive intelligence; data mining; decision making; electronic commerce; pattern classification; pattern clustering; automatic classification; business intelligence; business transactions; data analysis; data clustering; data mining technology; decision making system; electronic commerce; Data analysis; Data mining; Databases; Decision making; Delta modulation; Electronic commerce; Gold; Memory; Pattern analysis; Probes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2186
Filename :
4680375
Link To Document :
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