Apply Online
(+91) 912 705 6383 info@kazirangauniversity.in

Anindita Borah

Designation: Assistant Professor

Email: anindita.borah@kazirangauniversity.in

Academic Qualifications:

  • PhD (Pursuing) from Tezpur University
  • MTech (IT) from Gauhati University
  • BE (CSE) from GIMT, Gauhati University
Avatar

Experience:

  • 4 years in research
  • 4 years in teaching

Works:

Research Interest :
  • Data Mining
  • Bioinformatics
  • Data Analytics
  • Machine Learning
  •  Tezpur University as Teaching Assistant from January 2015 to July 2018.
  • Jorhat Engineering College as Assistant Professor in Department of Computer Science and Engineering.

Publications:

International Journals

  • A.Borah and B.Nath “Identifying Risk Factors for Adverse Diseases using Dynamic Rare Association Rule Mining”, Expert Systems with Applications, Vol. 113, pp: 233-263, Elsevier, 2018.
  • A.Borah and B.Nath “Mining Rare Association Rules from Incremental Databases”, Pattern Analysis and Applications, Vol.22, pp: 1-22, Springer, 2018.
  • A.Borah and B.Nath “Rare Pattern Mining: Challenges and Future Perspectives”, Complex & Intelligent Systems, Vol. 5, pp: 1-23, Springer, 2018.
  • A.Borah and B.Nath “Rare Association Rule Mining: A Systematic Review”, International Journal of Knowledge Engineering and Data Mining, Vol.4, pp: 204-258, Inderscience, 2017.

International Conferences and Book Chapters

  • A.Borah and B.Nath “Performance Analysis of Tree Based Approaches for Pattern Mining”, 4th International Conference on Computational Intelligence in Data Mining (ICCIDM), Burla, AISC Series, pp: 435-448, Springer, 2018.
  • A.Borah and B.Nath “FP-Tree and its Variants: Towards Solving the Pattern Mining Challenges”, International Conference on Smart Systems, Innovations and Computing (SSIC), Jaipur, SIST Series, pp: 535-543, Springer, 2018.
  • A.Borah and B.Nath “Mining Rare Patterns using Hyper-Linked Data Structure”, 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI) , ISI Kolkata, Lecture Notes in Computer Science (LNCS), pp: 467-472,  Springer, 2017.
  • A.Borah and 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), Coimbatore, pp: 371-376, IEEE, 2017.