A decision tree algorithm based on adaptive entropy of feature value importance

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Big Data Research Pub Date : 2025-04-14 DOI:10.1016/j.bdr.2025.100530

Shaobo Deng, Weili Yuan, Sujie Guan, Xing Lin, Zemin Liao, Min Li

引用次数: 0

Abstract

Constructing an optimal decision tree remains a challenging task. Existing algorithms often utilize power coefficient methods or standardization techniques to weight the entropy value; however, these approaches do not sufficiently account for the importance of attributes. This paper introduces an Adaptive Entropy Decision Tree (EWDT) algorithm, which leverages eigenvalue importance and integrates singular value decomposition into the calculation of entropy values. Experimental results demonstrate that the proposed algorithm outperforms other decision tree algorithms in terms of accuracy, precision, recall, and F1-score.

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基于特征值重要度自适应熵的决策树算法

构建最优决策树仍然是一项具有挑战性的任务。现有算法多采用功率系数法或标准化技术对熵值进行加权；然而，这些方法并没有充分考虑到属性的重要性。本文介绍了一种自适应熵决策树（EWDT）算法，该算法利用特征值重要度，将奇异值分解集成到熵值计算中。实验结果表明，该算法在准确率、精密度、召回率和f1分数方面都优于其他决策树算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data Research Computer Science-Computer Science Applications

CiteScore

8.40

自引率

3.00%

发文量

期刊介绍： The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.