Causal Model of by Association Rule
Journal Title: International Journal of the Computer, the Internet and Management - Year 2019, Vol 27, Issue 1
Abstract
The main objective for this research is to develop a prototype of a casual model and a coefficient of correlation between independent variables. Also, the main technique used in this research is an association rule for a logical relationship evaluation. As well, a generating all possible association rule, a computer support and confidence, and a filter association rule by Kardi Tenomo are used to evaluate between cause and effect variables. As a result, an outcome prototype can be used for a guideline in order to select an independent variable to forecast for a dependent variable effectively.
Authors and Affiliations
Aryut Ruangtong
Keywords
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