Degree : Ph.D(IT)
Rank : Professor
Faculty : Faculty of Computer Science
Address : University of Computer Studies, Hinthada
Email : thanhtikeaung@ucsh.edu.mm
Academic Qualifications
- Sc,Zool.from Mandalay University, Yangon at 1993
- D.C.Sc from University of Computer Studies, Mandalay at 1998
- I.Sc from University of Computer Studies, Yangon at 2001
- D(IT) from University of Computer Studies, Yangon at 2022
Academic Dissertation
- Master Dissertation
Web Integrated system of Agricultural system for Pea and Mushroom , 2001
- Doctoral Dissertation
Frequent Pattern Mining For Educational Data By Using Mapreduce Approach In Hadoop, 2021
List of Publications
[p1] Than Htike Aung and Nang Saing Moon Kham, University of Computer Studies, Yangon Myanmar, “Application of Apriori algorithm and K-Means Clustering algorithm based on Cloud based Big Data”, 15th International Conference on Computer Applications (ICCA 2017). University of Computer Studies, Yangon Myanmar. Feb 16-17 ,2017,Page 58-61
[p2] Than Htike Aung and Nang Saing Moon Kham, University of Computer Studies, Yangon Myanmar, “Cloud Based Big Data Application of FP-Growth Algorithm and K-Means Clustering Algorithm Based on MapReduce Hadoop”, 1st International Conference on Advanced Information Technologies (ICAIT), Nov 1-2 ,2017,Page 14-19
[p3] Than Htike Aung and Nang Saing Moon Kham, University of Computer Studies, Yangon Myanmar, “Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree”, 16th International Conference on Computer Applications (ICCA 2018), Feb 22-23 2018, Page 65-71
[p4] Than Htike Aung, University of Computer Studies, Yangon Myanmar, “Frequent Pattern Mining for Dynamic Database by Using Hadoop GM-Tree and GTree ”, 1st International Conference on Big Data Analysis and Deep Learning, June 2018.pp 149-159
[p5] Than Htike Aung, University of Computer Studies, Yangon Myanmar, Yangon Myanmar, “Cloud Based Teacher’s Assessment Data in Educational Data Mining ”, The 11th International Conference on Future Computer and Communication (ICFCC 2019), March 1 ,2019, pp 159-164
[p6] Than Htike Aung, University of Computer Studies, “Improved Frequent Pattern Mining for Educational Data by using Mapreduce Approach in Hadoop”, International Journal of Computer Applications, Foundation of Computer Science (FCS),NY,USA, 2020,December, Page 13-20
[p7] Than Htike AungUniversity of Computer Studies, “Application of RFID Based Student Attended System Using Cloud Storage and IoT”, 17th International Conference on Computer Applications (ICCA 2019), March 2, 2019, Page 50-53
[p8] Than Htike Aung, University of Computer Studies,” Improved Efficiency of Smart Agriculture By Using Cost-Effective IoT Design”, Springer, 2023,March, ISBN 978-981-19-8738-0, 59-67