Parallel association rule mining for image data
Jinguang Sun, Weihao Pan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.