Data Mining From A Database Perspective

Data Mining can be studied from many different perspectives. Researchers in many different fields have shown great interest in data mining. An information retrieval researcher probably would concentrate on the use of data mining techniques to access text data; a statistician might look primarily at the historical techniques, including time series analysis, hypothesis testing, and applications of Bayes theorem; a machine learning specialist might be interested primarily in data mining algorithms that learn; and an algorithms researcher would be interested in studying and comparing algorithms based on type and complexity. The study of data mining from a database perspective involves looking at all types of data mining applications and techniques. In this paper we provide a survey, from database researchers’ point of view on data mining techniques recently developed.