Results 61 to 70 of about 23,893 (215)

Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules

, 1996
We describe a case study in the application of {\em symbolic machine learning} techniques for the discovery of linguistic rules and categories. A supervised rule induction algorithm is used to learn to predict the correct diminutive suffix given the ...
Berck, Peter, Daelemans, Walter, Gillis, Steven   +2 more
core   +2 more sources

Human Stress Detection Technologies: An In‐Depth Comparison of Machine Learning Algorithms and Applications

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Workload pressure, examination stress, family responsibilities, and a variety of other factors all contribute to an increase in stress in the body. Stress weakens the human mind and body by accelerating several health disorders. Therefore, the number of approaches for early projection of stress plays a vital role in the healthcare sector ...
Srabanti Maji, Soumen Kanrar, Pooja Gupta, Anurag Sinha, Md. Sazid Reza, G. Madhukar Rao, Shrikant Burje, Agnivesh Kumar Sinha, Sandeep bhad   +8 more
wiley   +1 more source

Perbandingan Kinerja Algoritma C.45 dan AHP-TOPSIS Sebagai Pendukung Keputusan Proses Seleksi Penerima Beasiswa

Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2016
Considering the importance of the scholarship, it is a challenge for the head of higher education institutions to make an accurate decision on giving scholarships and managing data of the recipients. However, the implementation is still less efficient in
Aziz Musthafa, Hadi Suyono, M. Sarosa
doaj   +1 more source

Predicting Students' Performance Using ID3 and C4.5 Classification Algorithms

International Journal of Data Mining & Knowledge Management Process, 2013
An educational institution needs to have an approximate prior knowledge of enrolled students to predict their performance in future academics. This helps them to identify promising students and also provides them an opportunity to pay attention to and improve those who would probably get lower grades. As a solution, we have developed a system which can
Adhatrao, Kalpesh, Gaykar, Aditya, Dhawan, Amiraj, Jha, Rohit, Honrao, Vipul   +4 more
openaire   +2 more sources

Classification Using C4.5 Algorithm in Election Participation Prediction

IOP Conference Series: Materials Science and Engineering, 2020
Abstract The General Election of the President, DPD, DPR, Provincial DPRD and Regency / City DPRD in 2019, in Indonesia, is carried out by an independent institution namely the General Election Commission (KPU), where there is a measure of the success of the holding by holding the principle of direct, general, free of secrecy.
Arif Senja Fitrani, Mochamad Alfan Rosid, Cindy Taurusta, Indah Fauzia   +3 more
openaire   +1 more source

Enhancing Hypertension Risk Diagnosis Using a Hybrid Machine Learning Framework: Leveraging Body Composition Data

BioMed Research International, Volume 2026, Issue 1, 2026.
Hypertension, widely recognized as the “silent killer,” remains a leading cause of cardiovascular, renal, and neurological complications worldwide. This study proposes a dual‐scenario hybrid machine learning framework for hypertension risk prediction using noninvasive body composition features, aimed at enhancing both interpretability and predictive ...
Abdul Wahid Mirzaye, Hamid Saadatfar, Mohammad Ali Nematollahi, Baisakhi Banerjee   +3 more
wiley   +1 more source

Prediction of Graduation for Students at the ISB Atma Luhur Faculty of Information Technology Using the C4.5 Algorithm

Jurnal Sisfokom, 2023
Higher Education is a level of education after secondary education which includes diploma programs, undergraduate programs, master programs, doctoral programs, professional programs, and specialist programs organized based on the culture of the ...
Ine Widyaningrum Mustama Putri, Rusdah Rusdah, Lis Suryadi, Dian Anubhakti   +3 more
doaj   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Influence of data mining technology in information analysis of human resource management on macroscopic economic management.

PLoS ONE, 2021
The purposes are to manage human resource data better and explore the association between Human Resource Management (HRM), data mining, and economic management.
Ai Zhang
doaj   +1 more source

Learning Features that Predict Cue Usage [PDF]

, 1997
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanations.
Di Eugenio, Barbara, Moore, Johanna D., Paolucci, Massimo   +2 more
core   +4 more sources