Self-Tuning Parameters for Decision Tree Algorithm Based on Big Data Analytics-Reference-Cited by-同舟云学术

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Self-Tuning Parameters for Decision Tree Algorithm Based on Big Data Analytics

Published:2023 Issue:1 Volume:75 Page:943-958
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Mohamed Hafez Manar,Eldin F. Elfakharany Essam,A. Abohany Amr,Thabet Mostafa

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference31 articles.

1. Using decision tree to select forecasting algorithms in distinct electricity consumption context of an office building;Ramos;Energy Reports,2022

2. Predicting ambulance offload delay using a hybrid decision tree model;Li;Socio-Economic Planning Sciences,2022

3. A comparative performance study of Naïve and ensemble algorithms for E-commerce;Hafez,2019

4. Mining patient opinion to evaluate the service quality in healthcare: A deep-learning approach;Shah;Journal of Ambient Intelligence and Humanized Computing,2020

5. What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach;Shah;Information Processing & Management,2021

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