| A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring FN Koutanaei, H Sajedi, M Khanbabaei Journal of Retailing and Consumer Services 27, 11-23, 2015 | 213 | 2015 |
| A model for supply chain risk management in the automotive industry using fuzzy analytic hierarchy process and fuzzy TOPSIS S Salehi Heidari, M Khanbabaei, M Sabzehparvar Benchmarking: An International Journal 25 (9), 3831-3857, 2018 | 50 | 2018 |
| Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM … M Alborzi, M Khanbabaei International Journal of Business Information Systems 23 (1), 1-22, 2016 | 43 | 2016 |
| The use of genetic algorithm, clustering and feature selection techniques in construction of decision tree models for credit scoring M Khanbabaei International Journal of Managing Information Technology (IJMIT) Vol 5, 2013 | 24 | 2013 |
| Developing an integrated framework for using data mining techniques and ontology concepts for process improvement M Khanbabaei, FM Sobhani, M Alborzi, R Radfar Journal of Systems and Software 137, 78-95, 2018 | 22 | 2018 |
| Applying clustering and classification data mining techniques for competitive and knowledge‐intensive processes improvement M Khanbabaei, M Alborzi, FM Sobhani, R Radfar Knowledge and Process Management 26 (2), 123-139, 2019 | 18 | 2019 |
| Using Genetic Algorithm in optimizing decision trees for credit scoring of banks customers MI Alborz, ME Mohammad Pourzarandi, M Khanbabaei Journal of Information Technology Management 2 (4), 2010 | 14 | 2010 |
| Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches S Ghanadbashi, M Khanbabaei, MS Abadeh International Journal of Business Process Integration and Management 6 (3 …, 2013 | 7 | 2013 |
| Hybrid credit scoring model using genetic algorithms and fuzzy expert systems Case study: Ghavvamin financial and credit institution MT Taghavifard, F Hosseini, M Khanbabaei Journal of Information Technology Management 6 (1), 31-46, 2014 | 4 | 2014 |
| Framework of Using Data Mining for Business Process Improvment M Khanbabaei, F Movahedi Sobhani, M Alborzi, R Radfar Research in Production and Operations Management 10 (1), 25-45, 2019 | 3 | 2019 |
| Using Clustering and Genetic Algorithm Techniques in Optimizing Decision Trees for Credit Scoring of Bank Customers M Alborzi, M Khanbabaei, PME MOHAMAD JOURNAL OF MANAGEMENT FUTURES RESEARCH (JOURNAL OF MANAGEMENT RESEARCH) 24 …, 2013 | 3 | 2013 |
| Using data mining to integrate recency-frequency-monetary value analysis and credit scoring methods for bank customer behaviour analysis M Khanbabaei, P Parsi, N Farhadi International Journal of Data Mining, Modelling and Management 15 (4), 369-392, 2023 | | 2023 |
| Application of c-fuzzy mean clustering algorithm in detecting anxiety. F Parsapour, J Peymani, M Khanbabaei | | 2020 |
| Using fuzzy C-means clustering algorithm to diagnose the severity of anxiety M Khanbabaei Journal of Health Information Management 17 (3), 97-103, 2020 | | 2020 |
| Model of Appling Data Mining Techniques in identification, segmentation and Analysis of Customers Behaviour of Electronic Banking Services SF Zeinolabedini, M Khanbabaei Journal of New Marketing Research 3 (2), 177-190, 2013 | | 2013 |
