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Classification of Rank for Distributors of Multi-Level Marketing Company by Using Decision Tree Induction
http://hdl.handle.net/20.500.12678/0000004357
http://hdl.handle.net/20.500.12678/00000043571df8ed8d-9f3f-45cf-aee0-aae1e0b86dcb
f1f3abda-06a0-4d77-8196-86e517353d74
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NJPSC 2019 Proceedings-pages-55-61.pdf (893 Kb)
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Article | ||||||
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Publication | ||||||
Title | ||||||
Title | Classification of Rank for Distributors of Multi-Level Marketing Company by Using Decision Tree Induction | |||||
Language | en_US | |||||
Publication date | 2019-03 | |||||
Authors | ||||||
Aung, Htet Htet | ||||||
Yee, Myint Myint | ||||||
Description | ||||||
Data Mining is a step in the knowledgediscovery process consisting of particular datamining algorithms that, under some acceptablecomputational efficiency limitations, find patterns ormodels in data [1]. Classification and prediction aretwo forms of data analysis that can be used to extractmodels describing important data classes or topredict future data trends. Decision tree is commonlyused for the gaining information for the purpose ofdecision making. This paper intends to apply theDecision tree induction ID3 algorithm on thedistributor’s performance data to generate theclassification model and this model can be used topredict the promotion of rank for the distributors.The dataset is used from ZhulianMulti-levelMarketing Company. 10-fold Cross Validationaccuracy method is used to approve the systemaccuracy. | ||||||
Keywords | ||||||
data mining, classification, decision tree, ID3 algorithm, K-fold Cross Validation accuracy method | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/2296 | |||||
Journal articles | ||||||
National Journal of Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |