By Topic

User-centered Interactive 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

3 Author(s)
Yan Zhao ; Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2, yanzhao@cs.uregina.ca ; Yaohua Chen ; Yiyu Yao

While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User views, preferences, strategies and judgments play the most important roles in human-machine interactivities, guide the selection of target knowledge representations, operations, and measurements. Practically, user views, preferences and judgments also decide strategies of abnormal situation handling, and explanations of mined patterns. In this paper, we discuss these fundamental issues

Published in:

2006 5th IEEE International Conference on Cognitive Informatics  (Volume:1 )

Date of Conference:

17-19 July 2006