DECISION TREE AND RULE-BASED CLASSIFICATION FOR PREDICTING ONLINE PURCHASE BEHAVIOR IN MALAYSIA

DECISION TREE AND RULE-BASED CLASSIFICATION FOR PREDICTING ONLINE PURCHASE BEHAVIOR IN MALAYSIA

In Malaysia, fast growth in e-commerce speeds a business need to understand and predict consumer online behavior in order to be more competitive. While the whole world is embracing big data analytics, many businesses in Malaysia, particularly those in the ecommerce sector, find it hard to harness th...

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Bibliographic Details
Main Authors: Maslina Abdul Aziz, Nurul Ain Mustakim, Shuzlina Abdul Rahman
Format: Article
Language:English
Published: UiTM Press 2024-10-01
Series:Malaysian Journal of Computing
Subjects:
decision trees
e-commerce
malaysian consumers
predictive models
rule-based algorithm
Online Access:https://ir.uitm.edu.my/id/eprint/105187
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https://ir.uitm.edu.my/id/eprint/105187

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