• Credit Card Fraud Detection Using Online Boosting with Extremely Fast Decision Tree 

  Khine, Aye Aye; Khin, Hnin Wint (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)

  Nowadays, data stream mining is a very hot and high attention research field due to the real-time industrial applications from different sources are generating amount of data continuously as the streaming style. To ...
• Consequences of Dependent and Independent Variables based on Acceptance Test Suite Metric Using Test Driven Development Approach 

  Moe, Myint Myint; Oo, Khine Khine (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)

  The fundamental of software development was Test-Driven Development but the individual tests must be carried out previously the production code. To research, the consequence of test-driven development on product code ...
• Comparative Analysis of Site-to-Site Layer 2 Virtual Private Networks 

  Aung, Si Thu; Thein, Thandar (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)

  Nowadays, many companies have branch offices and connect those offices to the main office over the Internet using a site-to-site Virtual Private Network connection. Most of these connections have always operated at ...
• Analysis of Availability Model Based on Software Aging in SDN Controllers with Rejuvenation 

  Paing, Aye Myat Myat (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)

  Deficiency of flexibility and programmability of legacy network architecture has been the concern of many networking admirers for some years. Software defined networking (SDN) is a new emerging concept to logically ...
• An Improvement of FP-Growth Mining Algorithm Using Linked list 

  Maw, San San (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)

  Frequent pattern mining such as association rules, clustering, and classification is one of the most central areas in the data mining research. One of the foremost processes in association rule mining is the discovering ...

View more