By Topic

Parallel Research of Sequential Pattern Data Mining Algorithm

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
$31 $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

4 Author(s)
Wang Jinlin ; Xinjiang Inst. of Geogr. & Ecology, Chinese Acad. of Sci., Urumqi ; Chen Xi ; Zhou Kefa ; Wang Wei

Sequential pattern has important applications in many areas and a large number of data and patterns need efficient and scalable parallel algorithm. In light of the widespread problem in current sequential pattern data mining algorithm and on the basis of researching the data mining algorithm of serial sequential pattern, a data mining algorithm of parallel sequential pattern is presented in this paper. Through theoretical analysis and experimental verification, the parallel data mining algorithm can well improve the efficiency of data mining in massive data circumstances.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:4 )

Date of Conference:

12-14 Dec. 2008