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Proceedings Paper

Parallel association rule mining for image data
Author(s): Jinguang Sun; Weihao Pan
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Paper Abstract

Multimedia data mining is one of the most cutting-edge research the international database, multi-media technology and information in decision-making, is an emerging and challenging areas of the data mining. In order to improve the efficiency of image data mining, this paper presents an parallel cluster environment base on MPI, Association rules mining for the multimedia image data in the database which is established by the color characteristics, through simulation experiments show that there is obvious improve efficiency.

Paper Details

Date Published: 11 July 2009
PDF: 7 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902A (11 July 2009); doi: 10.1117/12.836853
Show Author Affiliations
Jinguang Sun, Liaoning Technical Univ. (China)
Weihao Pan, Liaoning Technical Univ. (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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