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Paper Details
Paper Title
A Survey On Classification Techniques In Data Mining
Authors
R.Anbu selvi, Dr.R.Nallusamy
Abstract
Data mining is a process of extracting the knowledge pattern from large data. Classification is a technique which used to predict the group membership for data sets. There are various techniques such as Support Vector Machine, Bayesian networks and the k-nearest neighbor classifier are analyzed here. The goal of this survey is to provide an expanded review of different classification techniques in data mining
Keywords- Support Vector Machine, CART, Minimum Description length, K-Nearest Neighbor, Bayesian network and Instance Based Learning.
Publication Details
Unique Identification Number - IJEDR1404048Page Number(s) - 3687-3690Pubished in - Volume 2 | Issue 4 | Dec 2014DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
R.Anbu selvi, Dr.R.Nallusamy, "A Survey On Classification Techniques In Data Mining", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3687-3690, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404048.pdf
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