Article Per Year (5 Year)
p-Index From 2019 - 2024
0.339
P-Index
This Author published in this journals
All Journal Perfecting a Video Game with Game Metrics
Mohammad Aljanabi
Aliraqia University
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A new model for large dataset dimensionality reduction based on teaching learning-based optimization and logistic regression Hind Raad Ibraheem; Zahraa Faiz Hussain; Sura Mazin Ali; Mohammad Aljanabi; Mostafa Abdulghafoor Mohammed; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.13764

Abstract

One of the human diseases with a high rate of mortality each year is breast cancer (BC). Among all the forms of cancer, BC is the commonest cause of death among women globally. Some of the effective ways of data classification are data mining and classification methods. These methods are particularly efficient in the medical field due to the presence of irrelevant and redundant attributes in medical datasets. Such redundant attributes are not needed to obtain an accurate estimation of disease diagnosis. Teaching learning-based optimization (TLBO) is a new metaheuristic that has been successfully applied to several intractable optimization problems in recent years. This paper presents the use of a multi-objective TLBO algorithm for the selection of feature subsets in automatic BC diagnosis. For the classification task in this work, the logistic regression (LR) method was deployed. From the results, the projected method produced better BC dataset classification accuracy (classified into malignant and benign). This result showed that the projected TLBO is an efficient features optimization technique for sustaining data-based decision-making systems.
Co-Authors Hind Raad Ibraheem Mostafa Abdulghafoor Mohammed Sura Mazin Ali Tole Sutikno Zahraa Faiz Hussain