Implementation of the C4.5 Decision Tree Algorithm in Determining PIP Recipient Students Based on Poverty by Heri Susanto, Dwi Yanto, Jamal Jamal, Choirul Anam, Thohirotun Nafisah

Get full text

Decision Tree Methodology (C4.5) for Predicting Students' Reading Interest in the Library SMK Negeri 1 Kota Cirebon by Muhammad Erwanto, Kosim Kosim, Nur Bambang Riyanto, Sukmo Banyu Jogo

Get full text

Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base by Yiyan Zhang, Yi Xin, Qin Li

“…Abstract Given that the decision tree C4.5 algorithm has outstanding performance in prediction accuracy on medical datasets and is highly interpretable, this paper carries out an optimization study on the selection of hyperparameters of the algorithm in order to achieve fast and accurate optimization of the algorithm model. …”
Get full text

Determining The Effect of Some Mechanical Properties on Color Maturity of Tomato With K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms by Hande Küçükönder, Kubilay Kazım Vursavuş, Fatih Üçkardeş

Get full text

Model Data Mining sebagai Prediksi Penyakit Hipertensi Kehamilan dengan Teknik Decision Tree by Ari Muzakir, Rika Anisa Wulandari

Get full text

Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

“…The relationship between the clusters and cephalometric variables was evaluated using the C4.5 decision tree. X-means clustering was employed to identify natural groupings within the dataset, followed by C4.5 decision tree analysis to determine key discriminative variables. …”
Get full text

Research on a Streamlined Causal Tree Algorithm Based on Factor Space Theory by Kaile Lin, Fanhui Zeng, Xiaotong Liu, Ying Wang, Kaijie Zhang

Get full text

Coronavirus Disease Diagnosis, Care and Prevention (COVID-19) Based on Decision Support System by Hussein Ali Salah, Ahmed Shihab Ahmed

“…In this paper, it was suggested the use of C4.5 Algorithm for decision tree.…”
Get full text

Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study by Saiedeh Sadat Hajimirzaie, Najmeh Tehranian, Amin Golabpour, Ahmad Khosravi, Seyed Abbas Mousavi, Afsaneh Keramat, Mehdi Mirzaii

“…To better diagnose individuals at risk of postpartum complications, predictive models utilizing data mining and machine learning techniques can be instrumental. The C4.5 decision tree algorithm effectively analyzes multiple variables to identify key relationships. …”
Get full text

Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

Get full text

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems by Arfan Ali Nagra, Fei Han, Qing Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Abeo Timothy Apasiba

Get full text

Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

Get full text

Identification Method of Influencing Factors of Hospital Catering Service Satisfaction Based on Decision Tree Algorithm by Siyao Li, Di Xu, Yang Liu, Rui Wang, Jian Zhang

“…This paper aims to study how to identify the influencing factors of hospital catering service satisfaction, and proposes the application of decision tree algorithm to the hospital catering service satisfaction research, and proposes decision tree-related algorithms, such as ID3, C4.5, and C5.0. …”
Get full text

Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model by Yuzhu Diao, Qing Zhang

“…The C4.5 algorithm is one of the decision tree algorithms, which has the advantages of easy to understand and high accuracy, and the concept of information gain rate is added compared with its predecessor ID3 algorithm. …”
Get full text

Comparison of Classification Algorithms with Bag of Words Feature in Sentiment Analysis by Fenilinas Adi Artanto

“…This study compares the performance of four widely used classification algorithms—Support Vector Machine (SVM), Naïve Bayes, Decision Tree (C4.5), and Random Forest—implemented through Orange Data Mining software, with evaluation based on K-Fold Cross Validation. …”
Get full text

Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

Get full text

A Data Mining Approach to Consumers’ Choice of Retail Market: The Case of Urban Retail Markets in Iran by H. Hashemzadeh, N. Yousefian, S. Esfandiari Bahraseman, A. Karbasi, A. Firoozzare

Get full text

Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

Get full text

Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach by Emmanuel Awoin, Peter Appiahene, Frank Gyasi, Abdulai Sabtiwu

“…A dataset was obtained from the various banks. This study used three decision tree algorithms, namely, C5.0, C4.5, and CART, to build the various decision tree predictive models. …”
Get full text

Additive value of computed tomography severity scores to predict lengths of stay in hospital and ICU for COVID-19 patients: a machine learning study by Seyed Salman Zakariaee, Mikaeil Molazadeh, Hossein Salmanipour, Negar Naderi

“…Four well-known ML classification models including kNN, MLP, SVM, and C4.5 decision tree algorithms were used to predict hospital and ICU LOSs of COVID-19 patients. …”
Get full text