Data mining: Clustering (Information from Rural Villages of Sivagangai District)

International Journal of P2P Network Trends and Technology (IJPTT)          
© 2013 by IJPTT Journal
Volume- 3 Issue- 4                           
Year of Publication : 2013
Authors : Dr.S.S.Dhenakaran, M.Sathish Kumar


Dr.S.S.Dhenakaran, M.Sathish Kumar." Data mining: Clustering ( Information from Rural Villages of Sivagangai District ) ". International Journal of P2P Network Trends and Technology ( IJPTT ), V3(4):1 - 4 Jul - Aug 2013, ISSN:2249-2615, Published by Seventh Sense Research Group.


Research work is aimed to mining the rural villages of sivagangai district. Key factors to incorporated for mining information useful to village peoples and government are number of villages, number of families, number of schools based on government and private, number of colleges based on government and private, number of universities, educated level of study up to elementary schools, Secondary Schools, Higher Secondary Schools, Under graduation, Post graduation, Research, Drought hit area in villages, Availability of waste land, frequent causes of diseases, etc… From this data, useful information is proposed to generate the benefit to the peoples, as well as provided useful reporting to the government for sanction various beneficial schemes for rural village peoples in sivagangai district.


[1] Data mining techniques for customer relationship management Technology in Society 24 (2002) 483–502.
[2] DISCOVERING KNOWLEDGE IN DATA .An Introduction to Data Mining, DANIEL T. LAROSE, Director of Data Mining, Central Connecticut State University. Copyright ©2005 by John Wiley & Sons, Inc. All rights reserved.
[3] Department of Homeland Security Privacy Office 2012, Data Mining Report to Congress, February 2013.
[4] Data Mining Practical Machine Learning ,Tools and Techniques, Edition Ian H. Witten . Eibe Frank. Mark A. Hall
[5] Data Mining Techniques in CRM: Inside Customer Segmentation, Konstantinos Tsiptsis Antonios Chorianopoulos


- Government, Schools, Colleges, Village.