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ORCIDMokhairi Makhtar
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2010 – 2019
- 2019
[c9]Mohd Khalid Awang
, Mokhairi Makhtar, Mohamad Afendee Mohamed:
An Ensemble Method with Cost Function on Churn Prediction. ICAAI 2019: 117-121- 2017
- [c8]Hasni Hassan, Mohd Isa Awang, Mokhairi Makhtar, Aznida Hayati Zakaria, Rohana Ismail, Fadhilah Ahmad:
Algorithms for extracting adjacency matrix based on formal concept analysis (FCA). ICC 2017: 56:1-56:6 - 2016
- [c7]Nurnadiah Zamri, Fadhilah Ahmad, Ahmad Nazari Mohd Rose, Mokhairi Makhtar:
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site. SCDM 2016: 41-50 - [c6]Mohd Khalid Awang, Mokhairi Makhtar, Mohd Nordin Abdul Rahman, Mustafa Mat Deris:
A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning. SCDM 2016: 427-436 - [c5]Mokhairi Makhtar, Nur Ashikin Harun, Azwa Bin Abdul Aziz, Zahrahtul Amani Zakaria, Fadzli Syed Abdullah, Julaily Aida Jusoh:
An Association Rule Mining Approach in Predicting Flood Areas. SCDM 2016: 437-446 - [c4]Mumtazimah Mohamad, Mokhairi Makhtar, Mohd Nordin Abdul Rahman:
The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data. SCDM 2016: 447-455 - 2012
- [b1]Mokhairi Makhtar:
Contributions to ensembles of models for predictive toxicology applications : on the representation, comparison and combination of models in ensembles. University of Bradford, UK, 2012 - [c3]Mokhairi Makhtar, Longzhi Yang, Daniel Neagu, Mick J. Ridley:
Optimisation of Classifier Ensemble for Predictive Toxicology Applications. UKSim 2012: 236-241 - 2011
- [c2]Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley:
Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. IDEAL 2011: 252-261 - [c1]Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley:
Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications. ITBAM 2011: 108-122
Coauthor Index
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