Feature Selection using Cuckoo Search Optimization for Prediction |
Author(s): |
| A. Aparna , DR. ANGELINA GEETHA; Dr. Angelina Geetha, Crescent University |
Keywords: |
| Bio-Inspired Algorithms, Feature Selection |
Abstract |
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Due to emerge of large data repositories in the current world were large data are emerging in terms of millions on daily basis. These emerging data's are to be optimized so that the data can be used in several useful purposes. Optimization methods can be used in feature selection methods to resolve the most related subset of features from the data set with adequate accuracy rate from the original data set of features. Several bio-inspired algorithms which are based on the behavior of nature living beings. In this paper, we have proposed a method of combining feature selection with one of the bio-inspired algorithm for optimizing and further the optimized data with more accuracy are used for prediction. |
Other Details |
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Paper ID: IJSRDV6I20285 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2007-2009 |
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