Abstract: Data Mining is the process of discovering interesting knowledge (patterns) from large amounts of data stored either in databases, data warehouses, or other information repositories. Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. Mining multimedia data is, however, at an experimental stage. Substantial progress in the field of data mining and data warehousing research has been witnessed in the last few years. Numerous research and commercial systems for data mining and data warehousing have been developed for mining knowledge in relational database and data warehouses (Fayyad et al., 1996) Despite the fact that Multimedia has been the major focus for many researchers around the world, data mining from multimedia databases is still in its infancy, multimedia mining still seem shy on results. Many techniques for representing, storing, indexing and retrieving multimedia data have been proposed. However, rare are the researches who ventured in the multimedia data mining field. The emerging data mining tools and systems lead to the demand of a powerful data mining query language. The concepts of such a language for relational databases are discussed in (Han et al., 1996) With the increasing popularity of multimedia databases, it is important to design a data mining query language for such databases. A multimedia data mining system prototype, MultiMediaMiner, has been designed and developed. It includes the construction of a multimedia data cube which facilitates multiple dimensional analysis of multimedia data, primarily based on visual content and the mining of multiple kinds of knowledge, including characterization (summarization), discrimination (comparison), classification, association and clustering, in image and video databases.
Bilal A. H. Abul-Huda , Basel Mohammed Bani Ismail , Osama Al-Horani and Ahmad El-Mustafa , 2005. A Survey of Data Mining Query Language (DMQL) for Multimedia Databases . Asian Journal of Information Technology, 4: 466-470.