·       A.Borah & B.Nath, “Incremental Rare Pattern based Approach for Identifying Outliers in Medical Data”, Applied Soft Computing, 85, Elsevier, 2019 (SCI Indexed, Impact Factor: 5.472).

·        A.Borah & B.Nath, “Identifying Risk Factors for Adverse Diseases using Dynamic Rare Association Rule Mining”, Expert Systems with Applications, 113,  pp-233-263, Elsevier, 2018 (SCI Indexed, Impact Factor: 5.452 ).

·        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: 3.791).

·        A.Borah & B.Nath, “Rare Association Rule Mining from Incremental Databases” Pattern Analysis and Applications, 22, pp-1-22, Springer, 2018 (SCI Indexed, Impact Factor: 1.527).

·   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, “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, Springer, pp-435-448, 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.