ANALYSIS OF CLUSTERING AND CLASSIFICATION

Alagappa Institute of Skill Development & Computer Centre,Alagappa University, Karaikudi, India.15 -16 February 2017. IT Skills Show & International Conference on Advancements In Computing Resources (SSICACR-2017)

Format: Volume 5, Issue 1, No 25, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: L.Visalatchi,VR.Deepalakshmi,S.Santhi

Reference:IJCS-280

View PDF Format

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, February-2014 [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

No Keywords

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

TOP
Facebook IconYouTube IconTwitter IconVisit Our Blog