UCSY's Research Repository

Browsing by Author "Khaing, Myo"

Browsing by Author "Khaing, Myo"

Sort by: Order: Results:

  • Htay, Su Nandar; Khaing, Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Design patterns are recurring solutions to software design problems you find again and again in real-world application development. Patterns are about design and interaction of objects, as well as providing a communication ...
  • Hlaing, Zar Chi Su Su; Khaing, Myo (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    With the web advancements are rapidly developing, the greater part of individuals makes their transactions on web, for example, searching through data, banking, shopping, managing, overseeing and controlling dam ...
  • Khaing, Myo; Kham, Nang Saing Moon (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    A novel metric that integrates the correlation and reliability information between each feature and each class obtained from Multiple Correspondence Analysis (MCA) is currently the popular solution to score the features ...
  • Aye, Hnin Hnin; Khaing, Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In this paper, frequent pattern mining for Myanmar sculptures gallery is proposed. The proposed system is expects to study the FP-Growth theory, how the transaction database is preprocessed in a way that is common to ...
  • Khaing, Myo; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    A central problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. A good feature set that contains highly correlated features ...
  • Khaing, Myo; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Feature selection is often an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves the performance of machine learning algorithms. In this ...
  • Nyein, May Khine; Khaing, Myo (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Graphs are widely used in many applications. Some of the applications that used graph theory are: analysis of electrical circuits, route planning, genetics, social sciences and so on. The system is based on sequential ...
  • Khaing, Myo (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    Reducing the size of a feature set, without altering the original representation, is an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information improves ...
  • Khaing, Myo; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on the effect of changes in the values of predictors or independent variables on dependent variables ...
  • Khaing, Myo; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on the effect of changes in the values of predictors or independent variables on dependent variables ...
  • Nwe, Thin Thin; Khaing, Myo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A distributed database system is a database system that provides commands to read and write data that is stored at multiple site of network. If users access a database concurrency, they may interfere with each other by ...

Search Repository

Browse

My Account