By Topic

Research Data Mining Architecture and Task Allocation Model Algorithm Based on Distributional Database

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

2 Author(s)
Zheng-Long Liu ; Pre-clinical Coll. of North-Sichuan Med., Univ. Nanchong, Nanchong ; Yan-Mei Yang

With the accelerative development of modern society informationization, data and databases has rapidly increased. That demands the abroad application of distributed data mining (DDM) methods that can parallel to get the results in time. However the problem of minimizing the communications costs across limited bandwidth interconnection network in DDM is crucial now. Considering that, this paper proposes the architecture of distributed data mining, model of scheduling in distributed data mining and its algorithm to deal with it. To more optimize the result of the scheduling algorithm, genetic algorithm is also used in this paper.

Published in:

Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on

Date of Conference:

20-22 Dec. 2008