UCSY's Research Repository

Classification of Import Market by using CART Algorithm

Show simple item record

dc.contributor.author Pearl
dc.contributor.author Aung, Wint Thinzar
dc.date.accessioned 2019-07-12T04:24:41Z
dc.date.available 2019-07-12T04:24:41Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/831
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject Classification en_US
dc.subject Decision Tree en_US
dc.subject CART (Classification and Regression Tree) en_US
dc.subject Impurity Function (Gini Index) en_US
dc.title Classification of Import Market by using CART Algorithm en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository



Browse

My Account