Parallel association rule mining for image data

Jinguang Sun; Weihao Pan

doi:10.1117/12.836853

10 July 2009 Parallel association rule mining for image data

Jinguang Sun, Weihao Pan

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74902A (2009) https://doi.org/10.1117/12.836853
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Jinguang Sun and Weihao Pan "Parallel association rule mining for image data", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902A (10 July 2009); https://doi.org/10.1117/12.836853

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