UCSY's Research Repository

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

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

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  • Cosmetic Products Selection Using Reduct Generation Algorithm 
    Aung, Myat Thu; Cho, Aung (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the task of discovering interesting patterns from large amounts of data. These data can be stored in database. Data classification in data mining tasks is the process of building a model from available data ...
  • 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 ...
  • Development of an Expert System to control Pest and Disease Of Groundnut with CN2 algorithm 
    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 ...
  • 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 ...
  • Outlier Detection on Sale Transactions Using Box Plot 
    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 ...
  • Sale Forecasting for Hot-Drink Productivity Using Naïve Bayesian Classification 
    Hlaing, Su Su Swe; Htun, Thaung Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Classification is one of the most popular data mining tasks with a wide ranges of application and lots of algorithms have been proposed to build scalable classifiers. Several data mining techniques and classification methods ...
  • 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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