REVIEW ON WEB MULTIMEDIA MINING AND KNOWLEDGE DISCOVERY

Web Multimedia data mining (WMDM) can be defined as the process of finding interesting patterns from media data such as audio, video, image and text that are not ordinarily accessible by basic queries and associated results. MDM is the mining of knowledge and high level multimedia information from large multimedia database system. MDM refers to pattern discovery, rule extraction and knowledge acquisition from multimedia database. To extract knowledge from multimedia database multimedia techniques are used. We compare MDM techniques with the state of the art data mining techniques involving clustering, classification, sequence pattern mining, association rule mining and visualization. This paper is a review on Web multimedia mining (WMM) and Knowledge discovery it elaborates basic concepts, application at various areas, techniques, approaches and other useful areas which need to be work for WMM. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging problem which has opened the opportunity for research in WMM and knowledge discovery.