
Name : Khin Theink Theink Soe
Degree : Ph.D(IT)
Rank : Associate Professor
Faculty : Faculty of Computer Science
Address : Khayay Hostel, UCS(Hinthada)
Email : khintheinktheinksoe@ucsh.edu.mm
Academic Qualifications
- Ph.D(IT)
- M.C.Sc
- B.C.Sc(Hons.)
- B.C.Sc
Academic Dissertation
- Master Dissertation
- Analyzing the Top Selling Items of Online Electronic Store Using Web Usage Mining
- Doctoral Dissertation
- Detection and Resolution of Anaphora in Myanmar Text
List of Publications
[1] “Analyzing the Top Selling Items of Online Electronic Store Using Web Usage Mining”, The 6th Parallel and Soft Computing (December 2021), pp. 164.
[2] “Detection and Resolution of Anaphora in Myanmar Text using A Hybrid Approach”, 16th International Conference on Computer Applications (ICCA 2018), February 22-23, Yangon, Myanmar, pp.197-202.
[3] “Anaphora Resolution for Myanmar Text using K-Nearest Neighbor Algorithm”, The 11th International Conference on Future Computer and Communication (ICFCC 2019), February 27-28, Yangon, Myanmar, pp.90-94.
[4] “Comparison of Machine Learning Approaches to Pronominal Anaphora Resolution in Myanmar Text”, In Proceedings of the 18th International Conference on Computer Applications (ICCA 2020), February 27-28, Yangon, Myanmar.
[5] “A Comparative Study of Machine Learning Algorithms for Anaphora Resolution of Myanmar Language”, Indian Journal of Computer Science and Engineering (IJCSE), DOI: 10.21817/indjcse/2024/ v15i3/241503055 Vol. 15 No. 3 May-Jun 2024.ဏ့.