Nowadays, massive amounts of data that are often geographically distributed and owned by different organisations are being mined. As consequence, a large mount of knowledge is being produced. This causes the problem of efficient knowledge management and mining. The main aim is to develop DM infrastructures to fully exploit the benefit of the knowledge contained in these very large data repositories. To this end, we introduced ”knowledge map” approach to represent easily and efficiently the knowledge mined in a large-scale platform such as Grid. This also facilitates the integration and coordination of local mining processes along with existing knowledge to increase the accuracy of the final models. In this paper, we discuss its advantages and its design issues.
['M-Tahar Kechadi']
The Data Wave: Data Management and Mining