Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm. (August 2019)

• Record Type: Journal Article
• Authors: Damanik, Irfan Sudahri; Windarto, Agus Perdana; Wanto, Anjar; Poningsih, ; Andani, Sundari Retno; Saputra, Widodo
• Is Part Of: Journal of physics. Volume 1255(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1255/1/012012
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The importance of efficiency in the space of search rules C4.5 decision tree algorithm has been the focus of a lot of researchers. Therefore, the development needs to be conducted to form a new, more efficient method but it can not be separated from the accuracy of the analysis as the results of the algorithm itself. For that purpose, by using a genetic algorithm (GA), it is expected to optimize and simplify the search rules of more complex combinations. The use of C4.5 with Hybrid genetic algorithm in search of a more effective rules requires a better understanding and a long time. But the use of the two algorithms will be mostly effective if the cases faced are very complex, having more branching condition and highly accurate.