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Mohd Khalid Awang
Mohd Khalid Awang
Associate Professor, Faculty of Informatics & Computing, Universiti Sultan Zainal Abidin
Verified email at unisza.edu.my
Title
Cited by
Cited by
Year
A multi-layer perceptron approach for customer churn prediction
MR Ismail, MK Awang, MNA Rahman, M Makhtar
International Journal of Multimedia and Ubiquitous Engineering 10 (7), 213-222, 2015
622015
CURRENT ISSUES IN ENSEMBLE METHODS AND ITS APPLICATIONS.
NM Baba, M Makhtar, SA Fadzli, MK Awang
Journal of Theoretical & Applied Information Technology 81 (2), 2015
522015
Churn classification model for local telecommunication company based on rough set theory
M Makhtar, S Nafis, MA Mohamed, MK Awang, MNA Rahman, MM Deris
Journal of Fundamental and Applied Sciences 9 (6S), 854-868, 2017
322017
The effect of RSA exponential key growth on the multi-core computational resource
MA Mohamed, AY Tuama, M Makhtar, MK Awang, M Mamat
Am. J. Eng. Applied Sci 9, 1054-1061, 2016
272016
Utilization of an artificial neural network in the prediction of heart disease
MK Awang, F Siraj
International Journal of Bio-science and Bio-technology 5 (4), 159-166, 2013
252013
Data mining for churn prediction: multiple regressions approach
MK Awang, MNA Rahman, MR Ismail
Conference on Education and Learning, 318-324, 2012
222012
The study on the accuracy of classifiers for water quality application
R Rosly, M Makhtar, MK Awang, MNA Rahman, MM Deris
International Journal of u-and e-Service, Science and Technology 8 (3), 145-154, 2015
152015
Transforming object oriented data model to relational data model
MK Awang, NL Labadu, GB Campus
New Comput. Archit. Appl 2 (3), 402-409, 2012
142012
Analyzing performance of classifiers for medical datasets
R Rosly, M Makhtar, MK Awang, MI Awang, MNA Rahman
Int J Eng Technol (UAE) 7, 136-8, 2018
92018
Daily streamflow prediction on time series forecasting
AF Khair, MK Awang, ZA Zakaraia, M Mazlan
Journal of Theoretical and Applied Information Technology 95 (4), 804, 2017
92017
Improving customer churn classification with ensemble stacking method
MK Awang, M Makhtar, N Udin, NF Mansor
International Journal of Advanced Computer Science and Applications 12 (11), 2021
72021
Comprehensive study on ensemble classification for medical applications
R Rosly, M Makhtar, MK Awang, MI Awang, MNA Rahman, H Mahdin
International Journal of Engineering & Technology 7 (2.14), 186-190, 2018
72018
A new soft set based pruning algorithm for ensemble method
MK Awang, M Makhtar, MNA Rahman, MM Deris
Journal of Theoretical and Applied Information Technology 88 (3), 384-391, 2016
62016
PREDICTIVE MODELING FOR TELCO CUSTOMER CHURN USING ROUGH SET THEORY
NSM Nafis, M Makhtar, MK Awang, MNA Rahman, MM Deris
6*2016
Least square method technique for predicting the acquisition of raw materials and sales of crisp for small and medium enterprises
AR Mamat, MA Mohamed, MH Nasruddin, MK Awang, FS Mohamed
Int. J. Recent Technol. Eng 7 (5), 612-616, 2019
52019
MULTI-CLASSIFIER MODELS TO IMPROVE ACCURACY OF WATER QUALITY APPLICATION
R Rosly, M Makhtar, MK Awang, MNA Rahman, MM Deris
5*2016
Feature selections and classification model for customer churn
M Mokhairi, A Mohd Khalid, AR Mohd Nordin
Journal of Theoretical and Applied Information Technology 75 (3), 356-365, 2015
52015
Third/fourth degree perineal tear: Does anorectal symptoms correlate with manometry and endo-anal scan result?
D Abdulwahab, A Nor, Z Nusee, HH Yati, H Ismail, M Awang, R Ismail
Bjog-an International Journal of Obstetrics and Gynaecology 121, 227-227, 2014
52014
Hybrid feature selection algorithm and ensemble stacking for heart disease prediction
NAM Zaini, MK Awang
International Journal of Advanced Computer Science and Applications 14 (2), 2023
42023
Improving accuracy and performance of customer churn prediction using feature reduction algorithms
MK Awang, M Makhtar, MNA Rahman
Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 9 …, 2017
42017
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