Data Warehousing And Data Mining

This paper describes a new approach to fast multimedia information retrieval with data mining and data ware housing techniques. To tackle the key issues such as multimedia data indexing, similarity measures, search methods and query processing in retrieval for large multimedia data archives, we extend the concepts of conventional data warehouse and multimedia data warehouse for effective data representation and storage. In this study the technological advances are making this vision a reality for many organizations. Here, we would be discussing about the benefits that and organization will get through the use of data mining. We will be discussing about the various stages about the predictive data mining like, the initial exploration, model building or pattern identification with validation/verification, and deployment. It discusses about the various strategic applications of data mining and data warehousing. In addition, we propose a fuzzy neural network to provide automatic and autonomous classification for the retrieval outputs by integrating fuzzy logic technology and the Back Propagation Feed Forward (BPFF) neural network. A series of case studies are reported to demonstrate the feasibility of the proposed method.

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