Title :
A research of progressive association rules mining algorithm based on image content
Author_Institution :
Coll. of Inf. Sci. & Technol., Zhejiang Shuren Univ., Hangzhou, China
Abstract :
Data mining research and its application is one of the most active branches of the database field, and it is a research hotspot. Multimedia Data Mining MDM has become one of the most challenging areas of information decision area, and many effective association rule mining algorithms have been proposed and improved, but the association rules mining methods and models based on image content are so far different from the ordinary rules because of the complexity of the mining target. The characteristic of two images in a resolution level is the same, but in a finer resolution it is different, so we need a method in which resolution is refined step by step. In this paper, we propose an algorithm of progressive association rules mining based on image content named PARM.
Keywords :
data mining; image resolution; PARM image content; image characteristics; image resolution; information decision; multimedia data mining; progressive association rules mining algorithm; Association rules; Image resolution; Multimedia communication; Multimedia databases; MICDB; MIDB; PARM; Progressive; image content;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
DOI :
10.1109/IASP.2012.6425006