By Topic

Consumers' behavior on web based on data mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Yan Ge ; School of Business Administration, Shandong University of Finance, Ji'nan 250014 China

With the advance of the process of information, the need that how the business Web site extracts the valuable information from the huge amounts of data highlights. By data mining technology we can automatically analyze data, make inductive reasoning, excavate characteristics and classification of Web users' consumption behaviors, quantify Web consumption tendency and evaluation in order to effectively grasp the Web users' consumption expectations and value orientation to provide users with better personalized services for the competitiveness of e-commerce businesses.

Published in:

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Date of Conference:

8-11 Aug. 2009