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Browsing Fourth Local Conference on Parallel and Soft Computing by Subject "data mining"

Browsing Fourth Local Conference on Parallel and Soft Computing by Subject "data mining"

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  • Oo, May Hnin Wai; Myo, Nyein Nyein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Disease and pest are important factors in agriculture ecosystem. In this paper, an expert system is applied in agriculture. It uses a rule induction method to generate the rules for the pests or diseases that occurred in ...
  • Ei, Phyo Phyo; Renu; Myint, Nilar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many areas, large quantities of data are generated and collected everyday, such as supermarket, business, astronomy, geography, phone call records etc. These data arrive too fast to be analyzed or mined in time. The ...
  • Hlaing, Wint Wah; Khin, Tar Tar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Outlier detection is an important task in data mining activities and has much attention in both research and application. A value that lies outside which is much smaller or larger than most of the other value in a set of ...
  • Aye, Yin Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining is a process that has a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Classification is the process of finding a set of models that ...

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