Association Rule Mining over Medical Image Dataset: A Survey Approach

Abstract

In present world due to digital revolution a huge amount of digital photographs, satellite imagery, and medical images are being generated every day. Due to the generation of very large number of images on a vast scale; the process of analysing and diagnosing images has become critical. As a consequence, there is a growing need for Image Mining systems, which serve the purpose of reviewing semantically meaningful information by design and extracting knowledge from large amounts of image data. In contrast to Image Mining, Association Rules are often used to represent frequently occurring patterns that occur together in similar type of images and these rules, can be used further for effective mining of images. This paper aims at comparing various techniques used for mining of images and thus the current state of Image Mining using Image Data Association is reviewed, providing directions for future research in the arena of Image Mining.