Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 19
Page No. 3730 - 3733

An Efficient Feature Subset Algorithm for High Dimensional Data

Authors : T. Divya and B. Vijaya Babu

References

Almuallim, H. and T.G. Dietterich, 1994. Learning boolean concepts in the presence of many irrelevant features. Artif. Intell., 69: 279-305.
CrossRef  |  Direct Link  |  

Baker, L.D. and A.K. McCallum, 1998. Distributional clustering of words for text classification. Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 24-28, 1998, ACM, New York, USA., ISBN:1-58113-015-5, pp: 96-103.

Battiti, R., 1994. Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Networks, 5: 537-550.
CrossRef  |  Direct Link  |  

Bell, D.A. and H. Wang, 2000. A formalism for relevance and its application in feature subset selection. Mach. Learn, 41: 175-195.
CrossRef  |  Direct Link  |  

Biesiada, J. and W. Duch, 2007. Feature Selection for High-Dimensional Data: A Pearson Redundancy Based Filter. In: Computer Recognition Systems 2. Kurzynski, M., E. Puchala, M. Wozniak and A. Zolnierek (Eds.). Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-540-75175-5, pp: 242-249.

Butterworth, R., G.P. Shapiro and D.A. Simovici, 2005. On feature selection through clustering. ICDM., 5: 581-584.

Chikhi, S. and S. Benhammada, 2009. ReliefMSS: A variation on a feature ranking ReliefF algorithm. Int. J. Bus. Intell. Data Min., 4: 375-390.
CrossRef  |  Direct Link  |  

Dash, M. and H. Liu, 1997. Feature selection for classification. Intell. Data Anal., 1: 131-156.
CrossRef  |  Direct Link  |  

Dash, M. and H. Liu, 2003. Consistency-based search in feature selection. Artif. Intell., 151: 155-176.
CrossRef  |  Direct Link  |  

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