Survey of Classification Techniques in Data Mining

Authors

  • V Krishnaiah Department of CSE, CVR College of Engineering, JNTUH, TS, India
  • G Narsimha Department of CSE, JNTUH-Kondagattu, JNTUH, TS, India
  • N Subhash Chandra Department CSE, VBIT, JNTUH, TS, India

Keywords:

Classifiers, Data Mining Techniques, Intelligent Data Analysis, Learning Algorithms, Artificial Intelligence, Decision Support System, Data Mining, KDD, Classification Algorithms, Fuzzy sets, Genetic Algorithm

Abstract

Classification in data mining is a technique based on machine learning algorithms which uses mathematics, statistics, probability distributions and artificial intelligence... To predict group membership for data items or to represent descriptive analysis of data items for effective decision making .Now a day’s data mining is touching every aspect of individual life includes Data Mining for Financial Data Analysis, Data Mining for the Telecommunications Industry Data Analysis, Data Mining for the Retail Industry Data Analysis, Data Mining in Healthcare and Biomedical Research Data Analysis, and Data Mining in Science and Engineering Data Analysis, etc. The goal of this survey is to provide a comprehensive review of different classification techniques in data mining based on decision tree, rule based Algorithms, neural networks, support vector machines, Bayesian networks, and Genetic Algorithms and Fuzzy logic.

References

B. Kotsiantis · I. D. Zaharakis · P. E. Pintelas,

“Machine learning: a review of classification and

combining techniques”, Springer Science10 November

Raj Kumar, Dr. Rajesh Verma,” Classification

Algorithms for Data Mining P: A Survey” IJIET

Vol. 1 Issue August 2012, ISSN: 2319 – 1058.

Ms. Aparna Raj, Mrs. Bincy, Mrs. T.Mathu “Survey on

Common Data Mining Classification Techniques”,

International Journal of Wisdom Based Computing,

Vol. 2(1), April 2012.

http://www.tutorialspoint.com/data_mining/dm_rbc.htm

M.Archana Survey of Classification Techniques in Data

Mining International Journal of Computer Science and

Mobile Applications Vol.2 Issue. 2, February- 2014

ISSN: 2321-8363.

Thair Nu Phyu Survey of Classification Techniques in

Data Mining Proceedings of the International

Multi Conference of Engineers and Computer Scientists

,Vol I IMECS 2009, March 18 - 20, 2009, Hong

Kong.

Jensen, F. (1996). An Introduction to Bayesian

Networks. Springer.

Cover, T., Hart, P. (1967), Nearest neighbor pattern

classification.

http://docs.oracle.com/cd/B28359_01/datamine.111/b28129.pdf

Text Book: Introduction to data mining by michael

steinback, Pang-Ning Tan, Vipin Kumar.

http://en.wikipedia.org/wiki/Decision_tree_learning.

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Published

2014-09-30

How to Cite

[1]
V. Krishnaiah, G. Narsimha, and N. Subhash Chandra, “Survey of Classification Techniques in Data Mining”, Int. J. Comp. Sci. Eng., vol. 2, no. 9, pp. 65–74, Sep. 2014.

Issue

Vol. 2 No. 9 (2014): IJCSE September Edition

Section

Survey Article

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