Predicting Customer Behaviour Using a Self-Organizing Map and Comparing with Random Forest

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چکیده

The main of this paper is to analyse the performance customer behaviour in online shopping by using precision value.A novel Self-organizing map with Random Forest was iterated at different times for predicting accuracy percentage behaviour. result proved that Novel got significant results 96% compared 93% accuracy. mapis a simple and most effective algorithm build fast machine learning models. self-organizing helps more

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ژورنال

عنوان ژورنال: Advances in parallel computing

سال: 2022

ISSN: ['1879-808X', '0927-5452']

DOI: https://doi.org/10.3233/apc220038