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  1. University of Computer Studies, Yangon
  2. Conferences

Classification of Import Market by using CART Algorithm

http://hdl.handle.net/20.500.12678/0000004930
http://hdl.handle.net/20.500.12678/0000004930
226dfc4f-238e-4806-a177-e86332ce783a
c412be11-837f-4483-8b4d-ebbada8ed3c8
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psc2010paper psc2010paper (19).pdf (546 Kb)
Publication type
Article
Upload type
Publication
Title
Title Classification of Import Market by using CART Algorithm
Language en
Publication date 2010-12-16
Authors
Pearl
Aung, Wint Thinzar
Description
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, there are two mains phases. In the training phase, attributes are analyzed by impurity function (Gini index) method. The impurity function (Gini index) measured method is used which computes the maximally reduce impurity of each attribute for the training data set. By using the training data, this system will construct the model or classifier to generate the form of classification rules. In the testing phase, calculate the accuracy of the classification rules by using the test data. This system will construct the decision tree according to the new product data and produces the result that is decision for how to investment.
Keywords
Classification, Decision Tree, CART (Classification and Regression Tree), Impurity Function (Gini Index)
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/831
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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