Very fast C4. 5 decision tree algorithm

A Cherfi, K Nouira, A Ferchichi - Applied Artificial Intelligence, 2018 - Taylor & Francis
This paper presents a novel algorithm so-called VFC4. 5 for building decision trees. It
proposes an adaptation of the way C4. 5 finds the threshold of a continuous attribute …

[PDF][PDF] A review on home automation system with speech recongition and machine learning

N Soni, M Dubey - IJARCSMS, 2017 - academia.edu
Many of the technologies currently used in smart homes can be adapted to meet a number
of needs. By emerging these technologies in homes can eliminate the need of care and …

Materials failure analysis utilizing rule-case based hybrid reasoning method

PH Thike, Z Xu, Y Cheng, Y Jin, P Shi - Engineering Failure Analysis, 2019 - Elsevier
Materials failure problems are becoming a serious concern because there would be a
variety of consequences possibly affecting public safety. Therefore, materials failure analysis …

[PDF][PDF] Diagnosing knee osteoarthritis using artificial neural networks and deep learning

J de Dieu Uwisengeyimana, T Ibrikci - Biomedical Statistics and …, 2017 - academia.edu
Among various medical diagnostic tests performed to identify osteoarthritis in the knee, most
of them are invasive and expensive. Therefore, in this study, another methodology for …

[PDF][PDF] A new muzzle classification model using decision tree classifier

I El-Henawy, HM El Bakry, HM El Hadad - Int. J. Electron. Inf. Eng, 2017 - ijeie.jalaxy.com.tw
Animal agricultures pays a great attention for saving the cattle because of the rapid growth of
the livestock. The critical point in this research is to classify large different groups of cattle's …

Prediksi Kolektibilitas Kredit Anggota Dengan Algoritma C5. 0 (Studi Kasus: Cu Damai Sejahtera Medan)

R Manik, P Pristiwanto… - JURIKOM (Jurnal …, 2018 - ejurnal.stmik-budidarma.ac.id
CU Damai Sejahtera merupakan salah satu koperasi yang bergerak dalam usaha simpan
pinjam. Hal ini mempunyai peranan yang sama dengan lembaga keuangan besar lainnya …

Drug-target interaction prediction using machine learning

MR Barkat, SM Moussa, NL Badr - 2021 Tenth International …, 2021 - ieeexplore.ieee.org
In the last decade, there has been a major worldwide evolution in the drug discovery and
design technologies, in conjunction with the bold emergence of bioinformatics. Different …

Supervised Machine Learning Modelling of Demand for Outpatient Health-Care Services in Kenya using Artificial Neural Networks and Regression Decision Trees

AM Pius, K Ogada, T Mwalili - 2021 22nd International Arab …, 2021 - ieeexplore.ieee.org
Machine learning models are frequently gaining wide applications in different fields with an
emphasis on supervised machine learning for data exploration as in healthcare provision …

Decision Tree using Feature Grouping

NI Fahim, MAH Utsha, RS Karmaker… - … on Computer and …, 2023 - ieeexplore.ieee.org
Machine learning (ML) is a crucial junction of statistics and computer science in the quickly
developing field of artificial intelligence. In particular, when conventional algorithms fail, this …

An Intelligent Procedure for Dynamic Evaluation in a Scientific Learning Session

O Diyer, N Achtaich, K Najib - Journal of Physics: Conference …, 2021 - iopscience.iop.org
In this research, we are interested in the evaluation of scientific subjects' teaching
components such as course questions, examples, application and deepening exercises …