Research | Articles. Developer. Creative.

Journals Articles
1. Adnan Amin et. al., Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods”, International Journal of Information. Management, vol 46, pp. 304-319 2019.
2. Adnan. Amin et. al., “Customer churn prediction in telecommunication industry using data certainty,” Journal of Business Research, vol. 1, no. 1, pp. 1–12, 2018.
3. Adnan Amin et. al., “A prudent based approach for compromised user credentials detection”, Cluster Computing, Pages 1-19
4. Adnan Amin et. al., Customer churn prediction in telecommunication industry using Rough Set Approach” Neurocomputing, Vol. 237, Pages 242-254.
5. Adnan Amin et. al., “Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study” IEEEAccess, Vol. 4, Pages 7940 - 7957
6. Adnan Amin et. al., “Just-in-time customer churn prediction in the telecommunication sector” Journal of Supercomputing
7. Changez Khan, Sajid Anwar, Adnan Amin “Site Selection for Food Distribution Using Rough Set Approach and Topsis Method” Journal of Intelligent and Fuzzy Systems, Vol 29, no. 6 pages 2413-2419.
8. Sadique Ahmad, Kan Li, Adnan Amin, Salabat Khan, “A Novel Technique for the Evaluation of Posterior Probabilities of Student Cognitive Skills”, IEEEAccess, 2018.
9. Sadique Ahmad, Kan Li, Adnan Amin, Muhammad Shahid Anwar, Wahab Khan, “A Multilayer Prediction Approach for the Student Cognitive Skills Measurement”, IEEEAccess, 2018.
10. Saleh Shah, Babar Shah, Adnan Amin, Feras Al-Obeidat, Francis Chow, Fernando Moreira, Sajid Anwar, “Compromised user credentials detection in a digital enterprise using behavioral analytics” Future Generation Computer Systems, 2018.
11.  H Gul, Adnan Amin, A Adnan, K Huang, "A Systematic Analysis of Link Prediction in Complex Network” IEEE Access 8,IEEE Access 9, 20531-20541
12.  S Ahmad, MS Anwar, M Ebrahim, W Khan, K Raza, SH Adil, Adnan Amin, "Deep Network for the Iterative Estimations of Students’ Cognitive Skills” IEEE Access 8, 103100-103113
International Conference Paper
1. Adnan Amin et. al., “Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector”. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham.
2. Adnan Amin et. al., “Just-in-time Customer Churn Prediction: With and Without Data Transformation” IEEE- CSC Brazil 2018.
3. Adnan Amin et. al., “Compromised User Credentials Detection Using Temporal Features: A Prudent Based Approach” ACM Proceedings of the 9th International Conference on Computer and Automation Engineering, Pages 104-110, 2017.
4. Adnan Amin et. al., “Classification of Cyber Attacks based on Rough Set Theory” First IEEE International Conference on Anti-Cybercrime (ICACC) Riyadh, Saudi Arabia, 10-November 2015.
5. Adnan Amin et. al., “A Prudent Based Approach for Customer Churn Prediction” IEEE 11th International Conference Beyond Databases Beyond Databases, Architectures and Structures Communications in Computer and Information Science Volume 521, 2015, pp 320-332.
6. Adnan Amin et. al., “A Comparison of two oversampling techniques (SMOTE vs MTDF) for handling class imbalance problem: A Case Study of Customer Churn Prediction.” WorldCIST'15 - 3rd World Conference on Information Systems and Technologies, Azores, Portugal, 1 - 3 April 2015.
7. Adnan Amin et. al., “Churn Prediction in Telecommunication Industry Using Rough Set Approach” New Trends in Computational Collective Intelligence Studies in Computational Intelligence Volume 572, pp 83-95 in 2015.
8. Adnan Amin et. al., “Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example” Nature-Inspired Computation and Machine Learning Lecture Notes in Computer Science Volume 8857, pp 206-218 in 2014.
9. Sadique Ahmad, Kan Li, Adnan Amin, and Muhammad Y. Faheem, "Simulation of Student Skills: The Novel Technique Based on Quantization of Cognitive Skills" IEEE- ICCICC USA 2018.
10. G Haji, Adnan Amin, N Furqan, A Sher Jeel, W Muhammad, "Link Prediction Using Double Degree Equation with Mutual and Popular Nodes" Trends and Applications in Information Systems and Technologies 4, 329-337