Results 51 to 60 of about 16,307 (199)
Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree [PDF]
Jisuanji gongcheng, 2019 In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree algorithm.The unbalanced data is oversampled by the SMOTE algorithm,the ...
ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun
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Improved Regression Tree Models Using Generalization Error‐Based Splitting Criteria
Naval Research Logistics (NRL), Volume 72, Issue 8, Page 1097-1116, December 2025.ABSTRACT Despite the widespread application of machine learning (ML) approaches such as the regression tree (RT) in the field of data‐driven optimization, overfitting may impair the effectiveness of ML models and thus hinder the deployment of ML for decision‐making.
Ying Yang, Shuaian Wang, Gilbert Laporte
wiley +1 more source
Patria Artha Technological Journal, 2021 Indonesia is a country with a population of 270.20 million people recorded at the Central Statistics Agency in September 2020. Based on the International Telecommunication Union (ITU) reported, the United Nations (UN) body, the number of world internet ...
Nabila Rizqia Novianda +2 more
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International Journal of Cancer, Volume 157, Issue 9, Page 1853-1863, 1 November 2025.What's new? Multiple genetic polymorphisms characteristic of type 2 diabetes (T2D) have been associated with unfavorable prognostic outcomes in individuals with both T2D and metastatic colorectal cancer. This study evaluated the impact of T2D genetic polymorphisms on metastatic colon cancer prognosis in a cohort of non‐diabetic patients.
Raffaella Ruggiero +11 more
wiley +1 more source
Dynamic simulation of land-use changes in a periurban agricultural system [PDF]
, 2005 Studying the driving forces of land-use change dynamics (LUCD) is important for understanding the change process. A spatially explicit simulation model helps to test hypotheses about landscape evolution under several scenarios.
Anwar, Sk Morshed, Borne, Frédéric
core
Sustainable Development, Volume 33, Issue S1, Page 1161-1181, November 2025.ABSTRACT This paper investigates the critical factors involved and evaluates how environmental, social, and governance (ESG), along with behavioral biases, impacts sustainable investment decision making. The researchers employed purposive sampling with random sampling methods to gather data from retail investors; the data is then analyzed in two stages.
Anshita Bihari +5 more
wiley +1 more source
Design of Neuro-Fuzzy Decision Trees
MATEC Web of Conferences, 2016 In order to improve accuracy of fuzzy decision trees classification we propose a procedure of parameters adaptation by means of neural network training.
Abramova Tatyana
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Decision Tree Algorithm based on Granular Computing and Important Degree of Attribute Value
Chemical Engineering Transactions, 2015 Conventional decision tree algorithm employs information gain and information gain ratio to select splitting attribute, and avoid attribute value significance.
P. Liu +4 more
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Estimation and inference in high‐dimensional panel data models with interactive fixed effects
Quantitative Economics, Volume 16, Issue 4, Page 1457-1509, November 2025.We develop new econometric methods for estimation and inference in high‐dimensional panel data models with interactive fixed effects. Our approach can be regarded as a nontrivial extension of the very popular common correlated effects (CCE) approach.
Maximilian Rücker +3 more
wiley +1 more source
Evaluation of Public Hospitals' Performance with Decision Tree Algorithms
Verimlilik DergisiPurpose: The study aims to evaluate a range of financial performance indicators calculated through structural, operational, and HVI measures for public hospitals in the Turkish healthcare sector using various decision tree algorithms.
Keziban Avcı
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