کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
477089 | 1446117 | 2010 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A discrete particle swarm optimization method for feature selection in binary classification problems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A discrete particle swarm optimization method for feature selection in binary classification problems A discrete particle swarm optimization method for feature selection in binary classification problems](/preview/png/477089.png)
چکیده انگلیسی
This paper investigates the feature subset selection problem for the binary classification problem using logistic regression model. We developed a modified discrete particle swarm optimization (PSO) algorithm for the feature subset selection problem. This approach embodies an adaptive feature selection procedure which dynamically accounts for the relevance and dependence of the features included the feature subset. We compare the proposed methodology with the tabu search and scatter search algorithms using publicly available datasets. The results show that the proposed discrete PSO algorithm is competitive in terms of both classification accuracy and computational performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 206, Issue 3, 1 November 2010, Pages 528–539
Journal: European Journal of Operational Research - Volume 206, Issue 3, 1 November 2010, Pages 528–539
نویسندگان
Alper Unler, Alper Murat,