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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580892
