publication . Article . 2021

Hybrid Weighted Random Forests Method for Prediction & Classification of Online Buying Customers

Umesh Kumar Lilhore; Sarita Simaiya; Devendra Prasad; Deepak Kumar Verma;
Open Access Persian
  • Published: 01 Apr 2021 Journal: Journal of Information Technology Management, volume 13, issue 2, pages 245-259 (issn: 2008-5893, eissn: 2423-5059, Copyright policy)
  • Publisher: University of Tehran
Abstract
Due to enchantment in network technology, the worldwide numbers of internet users are growing rapidly. Most of the internet users are using online purchasing from various sites. Due to new online shopping trends over the internet, the seller needs to predict the online customer’s choice. This field is a new area of research for machine learning researchers. A random forest (RF) machine learning method is a widely used classification method. It is mainly based on an ensemble of a single decision tree. Online e-commerce websites accumulate a massive quantity of data in large dimensions. A Random Forest is an efficient filter in high-dimensional data to reliably cl...
Subjects
free text keywords: weighted random forest, machine learning, classification, prediction, online customer, Information resources (General), ZA3040-5185
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