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An Improved Feature Selection and Classification using Decision Tree for Crop Datasets
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 142 - Number 13 |
| Year of Publication: 2016 |
| Authors: Surabhi Chouhan, Divakar Singh, Anju Singh |
10.5120/ijca2016909966
|
Surabhi Chouhan, Divakar Singh, Anju Singh . An Improved Feature Selection and Classification using Decision Tree for Crop Datasets. International Journal of Computer Applications. 142, 13 ( May 2016), 5-8. DOI=10.5120/ijca2016909966
Abstract
In this paper a more improved Feature Selection and Classification technique is implanted on Benchmark Datasets such as Mushroom and Soyabean. The Proposed Methodology implemented is based on the Hybrid Combinatorial method of Applying PSO-SVM for the selection of Features from the Dataset and Then Classification is done using Fuzzy Based Decision Tree. Experimental results when performed on Various Datasets prove that the proposed methodology extracts more features as well as provides more accuracy as compared to existing methodologies.
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