@inproceedings{citeulike:896309,
title = {Visualizing and Classifying the Pattern of User's Browsing Behavior for Website Design Recommendation},
author = {I-Hsien Ting and Chris Kimble and Daniel Kudenko},
booktitle = {First International Workshop on Knowledge Discovery in Data Stream (ECML/PKDD '04)},
month = {September},
pages = {101--102},
school = {The University of York},
url = {http://citeseer.ist.psu.edu/ting04visualizing.html},
year = {2004},
abstract = {In this paper, we proposed a method to extract and visualize the Clickstream data (Figure2), that can be used to identify potential problem of a website. We recorded user's actions and intentions while performing predefined tasks on specific websites. The user's action is logged on the client-side log where complete set of data can be collected. The user is asked to "Think Aloud" while browsing, their reactions and intentions are recorded on audio and video, so that their experience be captured....},
priority = {2}, citeulike-article-id = {896309},
keywords = {behaviour navigation visualise }
}
::