Comparison on Different Data Mining Algorithms

Authors

  • Chamatkar AJ Research Scholar , Department Of Electronics & Computer Sci., RTM Nagpur University, Nagpur , India
  • Butey PK HOD, Computer Science Department, Kamla Nehru Mahavidyalaya ,Nagpur India

Keywords:

Data Mining, CHARM algorithm, K rule mining, CM SPAM Algorithm

Abstract

Data mining an interdisciplinary research area spanning several disciplines such as machine learning, database system, expert system, intelligent information systems and statistic. Data mining has evolved into an active and important area of research because of previously unknown and interesting knowledge from very large real-world database. Many aspects of data mining have been investigated in several related fields. A unique but important aspect of the problem lies in the significance of needs to extend their studies to include the nature of the contents of the real world database. In this paper we are going to compare the three different algorithms which are commonly used in data mining. These three algorithms are CHARM Algorithm, Top K Rules mining and CM SPAM Algorithm.

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Published

2014-10-31

How to Cite

[1]
A. J. Chamatkar and P. Butey, “Comparison on Different Data Mining Algorithms”, Int. J. Comp. Sci. Eng., vol. 2, no. 10, pp. 54–58, Oct. 2014.