DocumentCode
527304
Title
The application of data mining in online bookstore
Author
Xue, Lin-Yan ; Wang, Hong ; Liu, Shuang ; Li, Chao
Author_Institution
Coll. of Quality & Tech. Supervising, Hebei Univ., Baoding, China
Volume
3
fYear
2010
fDate
11-14 July 2010
Firstpage
1294
Lastpage
1298
Abstract
With the rapid development of Internet technology in recent years, Electronic Commerce has been an inevitable product of the economy, the science and the technology. This paper takes an online bookstore platform as a background, introduces the definition, functions, process and common analytical techniques of data mining. In the end, the experiment on association rules mining from the order data of online bookstore is completed by Apriori algorithm.
Keywords
Internet; data mining; electronic commerce; retail data processing; Apriori algorithm; Internet technology; association rules mining; data mining; electronic commerce; online bookstore platform; Association rules; Data models; Data warehouses; Itemsets; Machine learning; Apriori Algorithm; Association rule; Data mining; Online bookstore;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580892
Filename
5580892
Link To Document