12-sumalatha-u

Ms. Sumalatha U.

Position: Assistant Professor
Phone: #

Educational Qualification

BE – Computer Science and Engineering

M.Tech – Computer Science and Engineering

Total Experience

6.5 years

Areas of Interest

  • Data Mining
  • Machine Learning
  • Data Science

Professional Memberships

ISTE

Subjects Handled

  • C Programming for Problem Solving
  • Dot Net Framework for Application Development
  • Data Mining and Data Warehousing
  • Software Testing
  • Java

Workshops / FDPs / SDPs / STTPs Attended/Conducted

8

Conference / Journal Publications

  • Sumalatha U,Prof.Seema,  “Analysis of an Improved Apriori Algorithm for Association Rule Mining” in the International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No. 44 (2015)
  • Sumalatha U, Prof.Seema,  “Analysis of an Improved Apriori Algorithm for Association Rule Mining” Conference NCRSEM-15 held at PES Institute of Technology& Management, Shivamogga, August 2015.