UCSY's Research Repository

Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Aung, Thandar"

Browsing Fourth Local Conference on Parallel and Soft Computing by Author "Aung, Thandar"

Sort by: Order: Results:

  • Aung, Nway Yu; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining refers to extracting or mining knowledge from large amounts of data. Classification is an important technique in data mining. Classification is the process of finding a set of models that describe and ...
  • Win, Pwint Mar Naing; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention to achieve the highest predictive accuracy with the ...
  • Lin, Nu Nan Dar; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Ontology is becoming increasingly widespread in the computer science community, and its importance is being recognized in a multiplicity of research fields and application areas. Ontology comprises as the concept, ...
  • Phyu, Nan Khaing Pwint; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier analysis is that the user do depends on the kinds data they have. An outlier is a data value, that has a very low probability of occurrence that is, it is unusual. There are three kinds of outlier detection in ...
  • Aung, Wai Me; Aung, Thandar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A project is a temporary endeavor undertaken to create a unique product, or result as the tasks within a project have links between them, all tasks cannot all happen at the same time. A technique entitled Critical Path ...
  • Aung, Thandar; Win, Thin Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data Mining is the process of storing through large amount of data and picking out relevant information. Classification can be used as in the form of data analysis that can be used to extract models describing the important ...

Search Repository



Browse

My Account