UCSY's Research Repository

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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  • Classification of Import Market by using CART Algorithm 
    Pearl; Aung, Wint Thinzar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The goal of this paper is to classify Import Market data to support the decision makers for Import Market. The main task performed in this system is used Classification and Regression Tree (CART) Algorithm. In this paper, ...
  • Developing Decision Tree Using ID3 for Depression Testing 
    Aye, Theingi; Phyu, Aye Lei Lei (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data classification is the process of building a model from available data called the training dataset and classifying object according to their attributes. A derived model may be represented in various forms, such as ...
  • Malaria Diagnosis System by Using ID3 Classification Algorithm 
    Thuai, Khaing Mar; Thant, Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision Tree algorithms are the most popular algorithms for classification in data mining field. The main goal of classification is prediction of the categorical labels (classes). In this system, ID3 algorithm is used to ...
  • Systemic Lupus Erythematosus (SLE) Disease by Using ID3 Algorithm 
    Phyu, Thin Aye; Kham, Nan Si (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Decision tree algorithm is a method for approximating discrete valued target functions, in which the learned function is represented by a decision tree. A major challenge facing healthcare organizations (hospitals, medical ...

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