Publication and Research Activity

Books

• Atanas Atanassov, Kamal Al-Barznji (2018). Big Data Recommender System, LAP LAMBERT Academic Publishing, 1, 60 pages.  

Publications

• DM Hussein, K Al-Barznji, NS Mohammed. (2024). Accurate Uncertainty Dataset Classification Using Hybrid Deep Learning Models. International Journal of Applied & Physical Sciences, 10, pp. 22-30. 

• Majidpour, J., & Al-Barznji, K. (2022). Opinions for receiving COVID-19 vaccines based on sentiment analysis. Journal of Pharmaceutical Negative Results, 1648-1659. 

• Al-Barznji, K. (2022). Big data processing frameworks for handling huge data efficiencies and challenges: A survey. International Journal of Data Science and Big Data Analytics, 2(1), 1-9. 

• Al-Barznji, K. (2021, December). Generating Recommendations via Trust-Aware Recommendation System by the Topological Impact of Users in Social Trust Networks. In International Conference on Artificial Intelligence and Big Data in Digital Era (pp. 121-135). Cham: Springer International Publishing. 

• Al-Barznji, K., & Atanassov, A. (2018, May). Big data sentiment analysis using machine learning algorithms. In Proceedings of 26th International Symposium" Control of Energy, Industrial and Ecological Systems, Bankia, Bulgaria. 

• Barznji, K. A., & Atanassov, A. (2018). Comparison of memory based filtering techniques for generating recommendations on large data. Проблемы машиностроения и автоматизации, (1), 44-50.

• Al-Barznji, K., & Atanassov, A. (2017). A framework for cloud based hybrid recommender system for big data mining. J Sci Eng Educ, 2, 58-65. 

• Al-Barznji, K., & Atanassov, A. (2017). Review of big data and big data mining for adding big value to enterprises. Science, Engineering & Education, 2(1), 50-57. 

• Al-Barznji, K., & Atanassov, A. (2017). Collaborative filtering techniques for generating recommendations on big data. In Proceedings of the International Conference Automatics and Informatics (pp. 225-228). 

• Al-Barznji, K., & Atanassov, A. (2016). A mapreduce solution for handling large data efficiently. Machines. Technologies. Materials., 10(12), 20-23. 

• Al-Barznji, K., & Atanassov, A. (2016, May). A survey of Big Data Mining: challenges and techniques. In Proceedings of 24th International Symposium" Control of Energy, Industrial and Ecological Systems, Bankia, Bulgaria. 

• J Majidpour, E Khezri, H Hassanzade, KS Mohammed. (2015). Interactive tool to improve the automatic image annotation using MPEG-7 and multi-class SVM. 7th Conference on Information and Knowledge Technology (IKT), IEEE, Urmia, Iran.