| Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior S Khodabandehlou, M Zivari Rahman Journal of Systems and Information Technology 19 (1/2), 65-93, 2017 | 114 | 2017 |
| Market manipulation detection: A systematic literature review S Khodabandehlou, SAH Golpayegani Expert Systems with Applications 210, 118330, 2022 | 26 | 2022 |
| Designing an e-commerce recommender system based on collaborative filtering using a data mining approach S Khodabandehlou International Journal of Business Information Systems 31 (4), 455-478, 2019 | 21 | 2019 |
| An effective recommender system based on personality traits, demographics and behavior of customers in time context S Khodabandehlou, SA Hashemi Golpayegani, M Zivari Rahman Data Technologies and Applications 55 (1), 149-174, 2021 | 17 | 2021 |
| Improving customer loyalty evaluation methods in the grocery retail industry: a data mining approach S Khodabandehlou, AA NikNafs International Journal of Electronic Customer Relationship Management 10 (2-4 …, 2016 | 6 | 2016 |
| Proposing a new method for customer segmentation based on their level of loyalty and defining appropriate strategies for each segment S KHodabandehlou, AA Niknafs Journal of Information Technology Management 8 (1), 101-122, 2016 | 4 | 2016 |
| FiFrauD: unsupervised financial fraud detection in dynamic graph streams S Khodabandehlou, AH Golpayegani ACM Transactions on Knowledge Discovery from Data 18 (5), 1-29, 2024 | 3 | 2024 |
| Providing a new approach for segmenting customers based on their purchasing behavior change over time in electronic business S KHodabandehlou, M Zivari Rahman Journal of Information Technology Management 9 (2), 277-300, 2017 | 3 | 2017 |
| How do abnormal trading behaviors diffuse in electronic markets? S Khodabandehlou, SA Hashemi Golpayegani Social Network Analysis and Mining 14 (1), 98, 2024 | | 2024 |
Mahmoud Zivari RahmanPh.D. at University of Tehran, Department of Psychology, Tehran, Iran在 ut.ac.ir 的电子邮件经过验证
