Institute of Life long learning of Assam down town University, is the domain of adult or continuing education which examines how adults learn, usually within work contexts. The field encompasses professional development programs for learners including professional groups and also the ones who have not had the opportunity to access formal education system and want to pursue job oriented short term vocational courses.
A.Borah & B.Nath, " Incremental Rare Pattern based Approach for Identifying Outliers in Medical Data", Applied Soft Computing, 85, 105824, Elsevier, 2019 (SCI indexed, Impact Factor(Thomson Reuters): 5.472).
A.Borah & B.Nath, “Identifying Risk Factors for Adverse Diseases using Dynamic RareAssociation Rule Mining”, Expert Systems with Applications, 113, pp-233-263, Elsevier, 2018 (SCI Indexed, Impact Factor(Thomson Reuters): 5.452).
A.Borah & B.Nath, “Mining Rare Association Rules from Incremental Databases”, Pattern Analysis and Applications, 22, pp-1-22, Springer, 2018 (SCI Indexed, Impact Factor(Thomson Reuters): 1.527).
A.Borah & B.Nath, “Rare Pattern Mining: Challenges and Future Perspectives”, Complex and Intelligent Systems, 5, pp-1-23, Springer, 2018. (SCI Indexed, Impact Factor(Thomson Reuters): 3.791).
A.Borah & B.Nath, “Tree Based Frequent and Rare Pattern Mining Techniques: A Comprehensive Structural and Empirical Analysis”, Springer Nature Applied Sciences, 1(9), 972, Springer, 2019. (ESCI Indexed).
A.Borah & B.Nath, “Rare Association Rule Mining: A Systematic Review”, International Journal of Knowledge Engineering and Data Mining, 4, pp- 204-258, Inderscience, 2017.
Book Chapters/Conference Proceedings
A.Borah & B.Nath, “Mining Rare Patterns using Hyper-Linked Data Structure”, 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI) , Lecture Notes in Computer Science, pp- 467-472, Springer, 2017.
A.Borah & B.Nath, “Performance Analysis of Tree Based Approaches for Pattern Mining”, 4th International Conference on Computational Intelligence in Data Mining ICCIDM, AISC Series, pp-435-448, Springer, 2017.
A.Borah & B.Nath, “FP-Tree and its Variants: Towards Solving the Pattern Mining Challenges”, International Conference on Smart Systems, Innovations and Computing (SSIC), SIST Series, pp-535-543, Springer, 2017.
A.Borah & B.Nath, “Mining Patterns from Data Streams: An Overview, in the Proc.of International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (ISMAC), IEEE, pp-371-376, 2017.
Reviewer of the journal “Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis” (SCI Indexed, Impact Factor : 2.11).
Reviewer of the journal “Informatics in Medicine Unlocked, Elsevier” (Scopus and ESCI Indexed).
Reviewer of the journal “International Journal of E-Business Research, IGI Global” (Scopus and ESCI Indexed).
Awarded fellowship by FlyTxt Data Analytics for the research paper :- A.Borah & B.Nath, “Mining Rare Patterns using Hyper-Linked Data Structure”, as one of the best papers at 7th International Conference on Pattern Recognition and Machine Intelligence, Indian Statistical Institute, Kolkata.