Intelligent Information Processing II (Lecture Notes in Computer Science) (IFIP Advances in Information and Communication Technology, #163)

by Qing He and Zhongzhi Shi

0 ratings • 0 reviews • 0 shelved
Book cover for Intelligent Information Processing II

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
  • ISBN10 0387231528
  • ISBN13 9780387231525
  • Publish Date December 2004 (first published 28 October 2004)
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Format eBook
  • Language English