ANALYSIS OF CLUSTERING AND CLASSIFICATION

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were more time consuming to resolve.

References

[1]Jiawei Han and M Kamber , Data Mining: Concepts and Techniques, Second Edition.

[2]B.G.Obula Reddy, Dr. MaligelaUssenaiah, ìLiterature Survey on Clustering Techniquesî, IOSR Journal of Computer Engineering

[3]S.Neelamegam, Dr.E.Ramaraj, “Classification algorithm in Data mining: An Overview”, International Journal of P2P Network Trends and Technology, Volume 4 Issue 8-Sep 2013

[4]S.Archana1, Dr. K.Elangovan, “Survey of Classification Techniques in Data Mining”,International Journal of Computer Science and Mobile Applications, Vol.2 Issue. 2, February2014

[5]Dr.A.Bharathi, E.Deepankumar ,” Survey on Classification Techniques in Data Mining”,International Journal on Recent and Innovation Trends in Computing and Communication, Volume. 2 Issue. 7,July 2014

Keywords