Ph.D.: Ph.D. (Engg.), University of Kalyani

Post Graduate: M.Tech, Jadavpur University

Under Graduate: B.E. (Computer Science & Engineering), 2004, University of North Bengal

Netaji Subhas Engineering College (2023 to till continuing), Assistant Professor, Dept. of AIML

Academy of Technology (2022-2023), Assistant Professor, Dept. of CSE

Neotia Institute of Technology, Management & Science (Erstwhile ITME) (2009-2022), Assistant Professor, Dept. of CSE

Saroj Mohan Institute of Technology (2009-2009), Assistant Professor, Dept. of CSE

Jalpaiguri Government Engineering College (2007-2009), Lecturer (Part time), Dept. of IT

Siliguri Government Polytechnic (2005-2006), Lecturer (Part time), Dept. of CST

Indus Net Technologies (2005-2005), Project Engineer

IAENG, Data Science Association

Offered fellowship for PhD program at NIT Durgapur in 2015

Placement offered by Cognizant Technological Solutions Pvt. Ltd. in 2011

Awarded by Infosys Pvt. Ltd. for outstanding contribution in Infosys Campus Connect Program in 2011-2012.

Chief Head Examiner in MAKAUT

Paper setter in MAKAUT

Examiner in MAKAUT

Paper setter in MAKAUT

Paper moderator at The Neotia University

Moderator at JIS University

Data Mining, Pattern Recognition, Artificial Intelligence

Journal of Experimental and Theoretical Artificial Intelligence

Journal of Supercomputing

Knowledge and Information System

International Journal of Machine Learning and Cybernetics

Data Mining and Knowledge Discovery

Evolutionary Intelligence

Recent Advances in Computer Science & Communication

1. ATAL-FDP on Big Data Analytics organized by Siddhartha Institute of Engineering & Technology, Tamilnadu, India, 2021.

2. ATAL-FDP on Data Sciences organized by NIT Mizoram, Mizoram, India, 2020.

3. ATAL-FDP on Artificial Intelligence organized by Rajagiri School of Engineering and Technology, Kochi, Kerala, India, 2020.

4. ATAL-FDP on Data Sciences organized by Rajiv Gandhi Proudyogiki Vishawavidyalaya, Bhopal, Madhya Pradesh, India, 2020.

5. FDP on Universal Human Values organized by NIT Patna, India, 2020

6. FDP on Artificial Intelligence using Python organized by Govt. College of Engineering and Ceramic Technology, Kolkata, West Bengal, India, 2020.

7. FDP on Image authentication, WSN and IoT organized by JIS College of Engineering, Kalyani, West Bengal, India, 2020.

8. FDP on Teaching Practices and Beyond organized by The Neotia University, Diamond Harbour, West Bengal, India, 2020.

9. Workshop on Big Data Analytics organized by Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India, 2020.

10. STTP on Machine Learning, Pattern Recognition and Their Applications organized by St. Thomas College of Engineering and Technology, Kolkata, West Bengal, India, 2020.

11. NPTEL SPOC Workshop on Technology Enhanced Learning organized by IIT Kharagpur, India, 2020.

12. AICTE sponsored FDP on Student Induction organized by Sister Nivedita University, Kolkata, West Bengal, India, 2019.

13. AICTE sponsored FDP on Student Induction organized by Sister Nivedita University, Kolkata, West Bengal, India, 2018.

Undergraduate: Artificial Intelligence, Data Warehousing & Data Mining, Operating System, Computer Architecture, Cloud Computing, Big Data Analysis, Internet Technology

Postgraduate: Pattern Recognition

Datta S, Mali K, Ghosh S "Mining frequent patterns partially devoid of dissociation with automated MMS specification strategy", IETE Journal of Research, 69(2): 733-752, 2023 [SCIE]

Datta S, Mali K, Ghosh U, Bose S, Das S, Ghosh S, "Rare correlated coherent association rule mining with CLS-MMS", The Computer Journal, 66(2):342-359, 2023 [SCIE]

Datta S, Mali K, Ghosh U, "High occupancy itemset mining with consideration of transaction occupancy", Arabian Journal for Science and Engineering, 47:2061-2075, 2022 [SCIE]

Datta S, Mali K, Das S, Kundu S, Harh S, "Rhythmus periodic frequent pattern mining without periodicity threshold", Journal of Ambient Intelligence and Humanized Computing, 2022 [SCIE]

Datta S, Mali K, Ghosh S, "Weighted association rule mining over unweighted databases using inter-item link based automated weighting scheme" , Arabian Journal for Science and Engineering, 46:3169-3188, 2021 [SCIE]

Datta S, Garai C, Das C, "Efficient genetic algorithm on linear programming problem for fittest chromosomes,” Journal of Global Research in Computer Science, 3(6), 2012"

Datta S, "Robust skeletonization using hough transform and geometric constraints,” IJCA, 30(2), 2011."

Subrata Datta, Kalyani Mali, “Significant itemset mining with support-attractiveness framework,” IEEE 12th ICCCNT, IIT Kharagpur, India, 2021

Subrata Datta, Kalyani Mali, “Significant association rule mining with high associability,” IEEE 5th ICICCS, Madurai, TN, India, 2021.

Subrata Datta, Kalyani Mali, Shouvik Chakraborty, Soumen Banerjee, Kyamelia Roy, Sankhadeep Chatterjee, Madhurima Chakraborty, Sanchari Bhattacharjee, “Optimal usages of pessimistic association rules in cost effective decision making,” IEEE OPTRONIX, Kolkata, India, 2017.

Subrata Datta, Kalyani Mali and Pratyay Roy, “Ranking of association rules toward smart decision for smart city,” IEEE WiSPNET, Chennai, India, 2017.

Subrata Datta and Kalyani Mali, “Trust: A new objective measure for symmetric association rule mining in account of dissociation and null transaction,” IEEE ICoAC, Chennai, India, 2017.

Subrata Datta, and Subrata Bose, “Discovering of association rules in partial devoid of dissociation using weighted confidence,” IEEE ReTIS, Jadavpur University, Kolkata, India, 2015.

Subrata Datta, and Subrata Bose, “Frequent Pattern Generation in Association Rule Mining using Weighted Support,” IEEE C3IT, Hooghly, India, 2015.

Datta, S., Mali, K. (2022). Significant Association Rule Mining Without Support and Confidence Thresholds. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6460-1_17

Datta, S., Mali, K. (2022). Significant Association Rule Mining with MMS and Efficient Correlation Framework. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications . Lecture Notes in Networks and Systems, vol 288. Springer, Singapore. https://doi.org/10.1007/978-981-16-5120-5_57

Datta, S., Mali, K., Ghosh, S., Singh, R., Das, S. (2020). Interesting Pattern Mining Using Item Influence. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_53

Datta, S., Bose, S. (2016). Mining and Ranking Association Rules in Support, Confidence, Correlation, and Dissociation Framework. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_13