Volume- 4
Issue- 1
Year- 2016
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Dr.M.Chidambaram , R.Umasundari
Feature Selection is a fundamental problem in machine learning and data mining . Feature Selection is an effective way for reducing dimensionality, removing irrelevant data increasing learning accuracy. Feature Selection is the process of identifying a subset of the most useful features that produce compatible results as the original entire set of features .A Feature Selection techniques may be evaluated from both efficiency and effectiveness point of view. While the efficiency concerns the time required to find a subset of features, the effectiveness is related to the quality of the subset of the subset of features. Feature Selection is different from dimensionality reduction. Both methods search for to reduce the number of attributes in the dataset. But dimensionality reduction method creating new combination of attributes. Feature Selection methods include and exclude attributes present in the data without change. The central assumption when using a Feature Selection technique is that the data contains many redundant or irrelevant features. This paper actually a survey on various technique of feature selection and its advantages disadvantages.
[1] Feature selection for high-dimensional genomic microarray data Feature selection for high-dimensional genomic microarray data, Eric P.Xing, Michael I.Jordan, Proceeding of the Eighteenth International Conference on Machine Learning Pages 601-608 .
[2]Eric P.Xing Feature selection based on a New Dependency measure,2008 Fifth international conference on FUZZY Systems and knowledge discovery,.
[3] Zhao Z. and Liu H. (2009), ‘Searching for Interacting Features in Subset Selection’, Journal of Intelligent Data Analysis, 13(2), pp 207-228, 2009.
[4] Xing E.,Jordan M. And Karp R., Features selection for high –dimensional genomic microarray data,2001.
[5] Park H. and Kwon H., Extended Relief Algorithms in Instance-Based Feature Filtering, In Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT2007), pp 123-128, 2007.
[6] Sha C., Qui x and Zhou A., Feature selection based on a New Dependency measure,2008 Fifth international conference on FUZZY Systems and knowledge discovery,.
[7] Almuallim H. and Dietterich T.G., Learning boolean concepts in the presence of many irrelevant features, Artificial Intelligence, 69(1-2), pp 279-305, 1994
[8] Qinbao Song, Jingjie Ni and Guangtao Wang, A Fast Clustering Based Feature Subset Selection Algorithm for High Dimensional Data, IEEE Transactions on Knowledge and Data Engineering vol:25 no:1 year 2013.
[9] Heum Park,Hyuk-Chul kwon Extended Relief Algorithms in Instance-Based Feature Filtering.22-24 Aug.2007.
[10] Arauzo-Azofra A., Benitez J.M. and Castro J.L., A feature set measure based on relief, In Proceedings of the fifth international conference on Recent Advances in Soft Computing, pp 104-109,2004.
[11]E. Baker, International Encyclopedia of Education (3rd edition), Oxford, UK: Elsevier
[12] P. Mitra, C. A. Murthy and S. K. Pal. “Unsupervised feature selection using feature similarity,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 3, pp. 301–312,2002.
[13] Miller, “Subset Selection in Regression,” Chapman & Hall/CRC (2nd Ed.), 2002.13.H. Almuallim and T. G. Dietterich. “Learning boolean concepts in the presence of many irrelevant features,” Artificial Intelligence,vol. 69, no. 1-2, pp. 279–305, 1994.
[14] A Energy Efficiency Clustering for High Dimensional Data M.Ramzanfathimakani [1], R. Bharathkumar [2] Pristuniversity,kumbokanam
Assistant professor in Computer Science Department Rajah Serfoji Government college (Autonomous) Thanjavur
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