Olam-based Visual Data Mining Techniques

The Visual Data Mining is made up of the technique of data mining and visualization, which is derived from Visualization in Scientific Computing. OLAM(On-Line Analytical Mining) integrates OLAP with data minig, which mines knowledge in multi-dimensional databases or data cube. OLAM makes full use of the advantage of OLAP and data mining, and overcomes the shortages of them. In this paper, the technique of visual data mining based-on OLAM can integrate the tools of data mining with the tools of visualization, and allow user join in the data mining process. All in all, OLAM can improve the quality of data mining and help user understand the result of data mining.This paper study deeply on visual data mining, it includes: Firstly,Summarize the concept. application, classification and methods of visual data mining; Secondly, Lucubrate the structure and implementation mechanism of OLAM engine, and design an prototype system of data mining Based-On OLAM and present four process which the data go through from data warehouse to the presentation of visualization: data mining, data transform, the filtration of visualization and presentation of visualization; Thirdly, Accomplish the visualization kit in prototype system, including 14 the visual component using in CRM(Custom Relation Management ), which can be used for visualizeation of data in the telephone company, Stock company , Bank, and so on; Finally, Study on the methods of Association Rules visualization, and use the visual component which is accomplished in the Chaper 14 to implement them.