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Browsing Local Conference on Parallel and Soft Computing by Subject "decision tree"

Browsing Local Conference on Parallel and Soft Computing by Subject "decision tree"

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  • Defining User Knowledge Level by Using Decision Tree Induction Approach 
    Zin, Po Po; Aye, Hnin Hnin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    This paper describes the method to classify user’s knowledge level using decision tree induction. Decision trees can easily be converted to classification rules by using decision tree induction. This system is to estimate ...
  • Estimation of Oil Land Area by Using Bayes’ Theorem 
    Shwe, Myo Myat; Thein, Naychi Lai Lai (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Petroleum exploration is a high risk business. Consulting geologists predicts the probable existence of oil based on the geological evidence such as reservoir rocks, source rocks, sealed rocks, trap, recovery factor and ...
  • Implementation of Classification Rules Mining by Using Decision Tree Induction for Decision Making System 
    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 ...
  • Suggesting Mode of Delivery by Using Iterative Dichotomiser3 (ID3) Algorithm 
    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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