Scan patterns for association rule mining of image data
Zequn Guan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
The central idea of this paper is that image data mining could be performed directly on the 2D image representation, by applying some scan techniques on the 2D image, which are different than the raster scan. In this paper, we present the comparison of spatial data sets using bit sequential format on a unique vector form which converts between one quadrant tree and some sub-quadrant trees. Then, we describe how the bit-vector might be used to generate the associations among scan patterns in which when some object attributes are extracted in a data process, the others are extracted too.