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Design and Implementation of Automated Data Mining Using Intelligent Agents in Object Oriented Databases

  • V. Saravanan
  • K. Vivekanandan
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 163)

Abstract

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data. 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 fields needed from the database in a right 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 for the exploratory data mining.

Key words

Data Mining Cluster analysis Intelligent agents 

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • V. Saravanan
    • 1
  • K. Vivekanandan
    • 2
  1. 1.Dept of Computer Science & EngineeringBharathiar UniversityCoimbatoreIndia
  2. 2.School of ManagementBharathiar UniversityCoimbatoreIndia

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