Publication of Sajal Halder (On Study Leave)
Research Interests
Mr. Sajal Halder's research interests are Data Mining, Deep Learning, Reinforcement Learning, POI Recommendation Systems, and Trajectory Behavior Analysis.
Journal Papers
9. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. POI Recommendation with Queuing Time and User Interest Awareness. In Data Mining and Knowledge Discovery, 2022. Q1 ranked Journal, (Impact Factor -5.406 ), Publisher: Springer [Source Code]
8. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang. "Efficient Itinerary Recommendation via Personalised POI Selection and Pruning" . In Knowledge an Information Systems Journal. pp: 1-31, 2022, Q1 Ranked Journal, IF: 2.822 [Source Code]
7. Sajal Halder, Md. Samiullah and Young-Koo Lee. Supergraph based Periodic Pattern Mining in Dynamic Social Networks. In the journal of Expert Systems With Applications. Volume 72 Pages 430-442, 2017, SCIE (Impact Factor - 2.981), Publisher: Elsevier.
6. Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, YoungKoo Lee, Sungyoung Lee. Smart CDSS: Integration of Social Media Interaction Engine (SMIE) in Healthcare for Chronic Disease Patients. Multimedia Tools and Applications, pages 1-21, 2013, SCIE (Impact Factor - 1.014), Publisher: Springer.
5. Yongkoo Han, Kisung Park, Donghai Guan, Sajal Halder, and Young-Koo Lee. Topological Similarity based Feature Selection for Graph Classication. In the Computer Journal, bxt123, 2013, SCIE (Impact Factor - 0.755), Publisher: Oxford University Press.
4. Md Shafiur Rahman, Sajal Halder, Md Ashraf Uddin, Uzzal Kumar Acharjee, An efficeint hybrid system for anomaly detection in social networks. Cybersecurity, Volume 4, Pages 1-11, 2021.
3. Tanvir Ahammad, Md Khabir Uddin, Tamanna Yesmin, Abdul Karim, Sajal Halder, Md Mahmudul Hasan, Identification of Abusive Behavior Towards Religious Beliefs and Practices on Social Media Platforms, International Journal of Advanced Computer Science and Applications, Vol. 12, No. 6, 2021.
2. Sajal Halder, Yongkoo Han and Young-Koo Lee. Discovering Periodic Patterns using Supergraph in Dynamic Networks. Journal of Research Notes in Information Science (RNIS), Volume 14, 2013, pp.148-151.
1. Md. Rezaul Karim, Sajal Halder , Byeong-Soo Jeong, and Ho-Jin Choi. Efficient Mining Frequently Correlated, Associated-correlated and Independent Patterns Synchronously by Removing Null Transactions. Human Centric Technology and Service in Smart Space,LNEE 182, v.182, no.0, pp.93-103, Publisher: Springer.
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