DATA MINING - AN OVERVIEW FROM A DATABASE PERSPECTIVE

Mining information and knowledge from large databases has been recogni zed by many researchers as a key research topic in database systems an d machine learning, and by many industrial companies as an important a rea with an opportunity of major revenues. Researchers in many differe nt fields have shown great interest in data mining. Several emerging a pplications in information providing services, such as data warehousin g and on-line services over the Internet, also call for various data m ining techniques to better understand user behavior, to improve the se rvice provided, and to increase the business opportunities. In respons e to such a demand, this article is to provide a survey, from a databa se researcher's point of view, on the data mining techniques developed recently. A classification of the available data mining techniques is provided, and a comparative study of such techniques is presented.