Intelligent Agents as Data Mining Techniques Used in Academic Environment

A knowledge-based society determines organizations to focus their activities on improving management quality by using knowledge. Huge data stores become important once the real significance of data is discovered. Data mining techniques are involved in different knowledge processes, as one can notice in various public applications of the researchers. Managers can use these techniques in order to extract patterns, relations, associations from data initially considered of little value. Nowadays, intelligent agents represent an important opportunity to optimize knowledge management. Agents and data mining can work together in various domains such as finance, assurance, medicine, engineering and education. In this paper the authors considered an example of "data mining agents", outlining their major involvement in the complex process of knowledge management in academic environment.