• Dr.R.Sabitha Associate Professor, Department of IT, Info Institute of Engineering, Coimbatore, INDIA
  • Dr.S.Karthik Professor & Dean, Department of CSE, SNS College of Technology, Coimbatore, INDIA




Agent Mining, Multi Agents, Distributed Data Mining, KDD, Clustering, Association Rule Mining

Abstract [English]

Agent technology and Data Mining have emerged as two of the prominent areas in information sciences. An effort has been activated towards the interaction and integration between agent technology and data mining which is referred to as “AGENT MINING”. Data Mining is the process of extracting interesting information or patterns from large volumes of data. Agents comprise a powerful technology for the analysis, design and implementation of autonomous intelligent systems that can handle distributed problem-solving, cooperation, coordination, communication, and organization in a multiplayer environment. This agent uses information technology to find trends and patterns in an abundance of information from many different sources. The user can sort through this information in order to find whatever information they are seeking. Intelligent agents are today accepted as powerful tools for data mining in a distributed environment. The interaction and integration between agent and mining has potential to not only strengthen either side, but generate new techniques for developing more powerful intelligence and intelligent information processing systems. This paper discusses how agents are used in the various descriptive models of Data Mining. The various challenges and methodologies are analyzed and it clearly indicates the need for and the promising potential of agent mining for the mutual enhancement of both fields and for the creation of super-intelligent systems. Even though many researchers have been committed, more efforts are required to develop techniques and systems in practical perspectives.


Download data is not yet available.


Pavel Berkhin, Survey of Clustering Data Mining Techniques, Accrue Software, Inc.

MURTAGH, F, Multidimensional Clustering Algorithms, Physica-Verlag, Vienna.1985.

JAIN, A., DUBES, R, Algorithms for Clustering Data, Prentice-Hall, Englewood Cliffs, NJ, 1988.

ZHANG, T., RAMAKRISHNAN, R. , LIVNY, M, BIRCH: an efficient data clustering method for very large databases, In Proceedings of the ACM SIGMOD Conference, Montreal, Canada, 1996, 103-114. DOI: https://doi.org/10.1145/235968.233324

Rakesh Agrawal., Johannes Gehrke., DimitriosGunopulos., PrabhakarRaghavan, Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications, In Proceedings of the International Conference on Management of Data, (SIGMOD), volume 27(2) of SIGMOD Record, S`eattle,WA, ACM Press, USA, 1–4 June 1998 , 94–105.. DOI: https://doi.org/10.1145/276305.276314

SudiptoGuha., Rastogi, R., Shim, K, CURE: A clustering algorithm for large databases, Technical report, Bell Laboratories, Murray Hill, 1997.

WANG, W., YANG, J., MUNTZ, R, STING: a statistical information grid approach to spatial data mining”. In Proceedings of the 23rd Conference on VLDB, Athens, Greece, 1997,186-195.

MihaelAnkerst., Markus M., Breunig., Hans-Peter Kriegel., J ¨org Sander, OPTICS: Ordering Points To Identify the Clustering Structure”, In Proceedings of the International Conference on Management of Data, (SIGMOD), volume 28(2) of SIGMOD Record, ACM Press, Philadelphia, PA, USA, 1–3 June 1996, 49–60. DOI: https://doi.org/10.1145/304181.304187

Cristian Aflori., Florin Leo, Efficient Distributed Data Mining using Intelligent Agents, Proceedings of the 8th International Symposium on Automatic Control and Computer Science, Iaşi, 2004.

SanthanaChaimontree., Katie Atkinson., FransCoenen, A Multi of Agent Based Approach to Clustering: Harnessing the Power, Conference Proceeding: 01/2011; In proceeding of: Agents and Data Mining Interaction - 7th International Workshop on Agents and Data Mining Interation, ADMI 2011.




How to Cite

Sabitha, R., & Karthik. (2016). EMPLOYING AGENTS IN DESCRIPTIVE MINING. International Journal of Research -GRANTHAALAYAH, 4(2), 111–120. https://doi.org/10.29121/granthaalayah.v4.i2.2016.2821