UCSY's Research Repository

Browsing Conferences by Subject "data mining"

Browsing Conferences by Subject "data mining"

Sort by: Order: Results:

  • 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 ...
  • Fuzzy logical data mining and analysis of bamboo biomass knowledge engineering for energy happenstances 
    Wadan, Christen M. (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Fuzzy logical analysis engineers knowledge discovery in existing data to resolve bamboo biomass energy happenstances. The problems are large kilo tons of oil equivalents from biomass use needing engendering for ...
  • 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 ...
  • An Improvement of FP-Growth Mining Algorithm Using Linked list 
    Maw, San San (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Frequent pattern mining such as association rules, clustering, and classification is one of the most central areas in the data mining research. One of the foremost processes in association rule mining is the discovering ...
  • Novel data mining algorithms for computing biomass policy determinations in the Union of Myanmar 
    Wadan, Christen Mohamed (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    High biomass consumptions have large social, economic and ecological blessings as well as challenges to contend with. Computing biomass determinations demand renewable and non-renewable energy fact-findings. The study aims ...
  • 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 ...

Search Repository



Browse

My Account