@inproceedings{e9285b6f5a774343a3987636786ae0b0,
title = "Research on changes of E-shopper behavior in the internet environment",
abstract = "In the Internet shopping environment, changes of customer's needs grow increasingly outstanding. For discovering the changes, the paper mines the transaction databases of different time periods by using association rule discovery, and extracts the association rules and discovers the clianges in network customer behavior by comparison and analysis between the two sets of association rules. This paper presents a new algorithm that contains the first support, the second support and Rel-confidence. The algorithm solves the problem of the present algoritlims cannot discover association rules with infrequent data items. And according to the changes of network customer's behavior, robust pattern, appearing pattern and unexpected change are presented to measure the changes.",
keywords = "Association rule, Behavior, Change, Data item, Network customer, Support",
author = "Chong Wang and Li, \{Yi Jun\} and Qiang Ye",
year = "2006",
doi = "10.1109/ICMSE.2006.313865",
language = "英语",
isbn = "7560323553",
series = "Proceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "68--73",
booktitle = "Proceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)",
address = "美国",
note = "2006 International Conference on Management Science and Engineering, ICMSE'06 ; Conference date: 05-10-2006 Through 07-10-2006",
}