A Survey on Application of Machine Learning Algorithms on Data Mining
Tapas Ranjan Baitharu1, Subhendu Kumar Pani2

1Tapas Ranjan Baitharu, Associate Professor, Department of CSE, Orissa Engineering College, (Odisha), India.
2Subhendu Kumar Pani, Associate Professor, Department of CSE, Orissa Engineering College, (Odisha), India.
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 17-20 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1363123713/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the context of data mining the feature size is very large and it is believed that it needs a bigger population. Hence, this translates directly into higher computational load.Data and information have become major assets for most of the organizations. The success of any organisation depends largely on the extent to which the data acquired from business operations is utilized. classification is an important task in KDD (knowledge discovery in databases) process. It has several potential applications. The primary objective of this paper is to review the data mining and study of machine learning algorithm .The performance of classifiers is strongly dependent on the data set used for learning.
Keywords: Data Mining, Machine Learning Algorithm, Knowledge Discovery Databases.

Scope of the Article: Machine Learning