| Missing Value Imputation Using Decision Trees and Decision Forests by Splitting and Merging Records: Two Novel Techniques MG Rahman, MZ Islam Knowledge-Based Systems 53, 51-65, 2013 | 174 | 2013 |
| A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing MG Rahman, MZ Islam Australasian Data Mining Conference (AusDM 11), 41-50, 2011 | 154 | 2011 |
| Missing Value Imputation using a Fuzzy Clustering based EM Approach MG Rahman, MZ Islam Knowledge and Information Systems 46 (2), 389-422, 2015 | 120 | 2015 |
| FIMUS: A framework for imputing missing values using co-appearance, correlation and similarity analysis MG Rahman, MZ Islam Knowledge-Based Systems 56, 311-327, 2014 | 77 | 2014 |
| Discretization of continuous attributes through low frequency numerical values and attribute interdependency MG Rahman, MZ Islam Expert Systems with Applications 45, 410-423, 2016 | 45 | 2016 |
| Cairad: a co-appearance based analysis for incorrect records and attribute-values detection MG Rahman, MZ Islam, T Bossomaier, J Gao The 2012 International Joint Conference on Neural Networks (IJCNN), 1-10, 2012 | 34 | 2012 |
| kDMI: A Novel Method for Missing Values Imputation Using Two Levels Horizontal Partitioning in a Data set MG Rahman, MZ Islam The 9th International Conference on Advanced Data Mining and Applications …, 2013 | 24 | 2013 |
| Data Quality Improvement by Imputation of Missing Values MG Rahman, MZ Islam International Conference on Computer Science and Information Technology …, 2013 | 23 | 2013 |
| iDMI: A Novel Technique for Missing Value Imputation using a Decision Tree and Expectation-Maximization Algorithm MG Rahman, MZ Islam The 16th International Conference on Computer and Information Technology …, 2013 | 19 | 2013 |
| Adaptive Decision Forest: An incremental machine learning framework MG Rahman, MZ Islam Pattern Recognition 122, 108345, 2022 | 14 | 2022 |
| Data Cleansing During Data Collection from Wireless Sensor Networks MZ Islam, Q Mamun, MG Rahman The 12th Australasian Data Mining Conference (AusDM’14), 2014 | 11 | 2014 |
| A Novel Framework Using Two Layers of Missing Value Imputation MG Rahman, MZ Islam The 11th Australasian Data Mining Conference (AusDM 13), Canberra, Australia …, 2013 | 5 | 2013 |
| Identification of rice diseases using artificial neural network MM Billah, MP Islam, MG Rahman Bangladesh Society for Agricultural Science and Technology 4, 197-201, 2007 | 3 | 2007 |
| A Framework for Supervised Heterogeneous Transfer Learning Using Dynamic Distribution Adaptation and Manifold Regularization MG Rahman, MZ Islam IEEE Transactions on Services Computing, 2022 | 2 | 2022 |
| Reframing of Classification and Regression Tasks for Predicting the Effects of Compiler Settings on Multiple Embedded Systems C Blackmore, O Ray, M Kull, MG Rahman, P Flach, N Lachiche ECML-PKDD Workshop (LMCE) 2, 2015 | 2 | 2015 |
| An Introductory Survey on Reframing in Clustering MG Rahman ECML-PKDD Workshop (LMCE) 2, 2015 | 2* | 2015 |
| Strategy for implementing e-governance in the agriculture sector in Bangladesh. MN Uddin, MG Rahman, MS Sarkar, MG Mahmud, A Siddique International Journal of Engineering and Technology 6 (4), 622-629, 2009 | 2 | 2009 |
| Comparative Study of Signature Verification System Using Supervised (BPNN) and Unsupervised (HMM) Models AKMA Hossain, MG Rahman, RC Debnath 6th International Conference on Computer and Information Technology (ICCIT …, 2003 | 2 | 2003 |
| Reframing in Clustering: An Introductory Survey MG Rahman International Journal of Computer 30 (1), 34-42, 2018 | 1 | 2018 |
| OLAP-based Decision Support System for Business Data Analysis MG Rahman, MZ Ferdaus, MN Uddin International Journal of Computer Applications 18, 1-7, 2018 | 1* | 2018 |
Professor Zahid IslamAssociate Dean (Research), Charles Sturt UniversityVerified email at csu.edu.au
