کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
387703 | 660906 | 2012 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A novel chemistry based metaheuristic optimization method for mining of classification rules A novel chemistry based metaheuristic optimization method for mining of classification rules](/preview/png/387703.png)
When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as artificial chemical reaction optimization algorithm, ACROA. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated.
► A novel computational method has been developed inspiring from types and occurring of chemical reactions.
► One of the first applications of this method has been performed in classification rule discovery.
► Efficiency has been demonstrated.
Journal: Expert Systems with Applications - Volume 39, Issue 12, 15 September 2012, Pages 11080–11088