Theoretical Economics Letters

Theoretical Economics Letters

ISSN Print: 2162-2078
ISSN Online: 2162-2086
www.scirp.net/journal/tel
E-mail: [email protected]
"A Random Forest Approach for Predicting Online Buying Behavior of Indian Customers"
written by Rohit Joshi, Rohan Gupte, Palanisamy Saravanan,
published by Theoretical Economics Letters, Vol.8 No.3, 2018
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Customer purchase prediction in electronic markets from clickstream data using the Oracle meta-classifier
Operational Research, 2024
[2] The Impact of Social Media Marketing on Online Buying Behavior via the Mediating Role of Customer Perception: Evidence from the Abu Dhabi Retail Industry
Cyber Security Impact …, 2024
[3] Predicting the behavior of online buying insurance intention with the association of technological acceptance model
Journal of Data …, 2023
[4] Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research
Computers & Industrial …, 2023
[5] The role of marketing stimuli and attitude in determining post-COVID buying decisions toward organic food products: evidence from retail consumers in Beijing …
… in Sustainable Food …, 2023
[6] Estimating the Acceptance Probabilities of Consumer Loan Offers in an Online Loan Comparison and Brokerage Platform
Risks, 2023
[7] Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach
Applied Sciences, 2023
[8] Customer churn prediction based on a novelty hybrid random forest algorithm
Third International Conference on Computer Vision …, 2023
[9] Explainable Artificial Intelligence Solution for Online Retail
2022
[10] Training LOGIC and Random Forest Models to Predict IT Spending
2022
[11] Random Forest Based Hybrid Approaches to Analysis of Retail Stores
SSRN Electronic Journal, 2022
[12] Customer Purchase Prediction Based on Improved Gradient Boosting Decision Tree Algorithm
2022 2nd International Conference on Consumer …, 2022
[13] User behavior prediction based on machine learning
Third International Conference on …, 2022
[14] Location Analysis Using Ensemble Approach for Warehouses: A Study During COVID-19
Computational Intelligence in Pattern …, 2022
[15] Análise multicritério e aprendizado de máquina aplicados na predição do potencial espeleológico da região do Parque Nacional Serra do Gandarela, Quadrilátero …
2022
[16] Identifying Core Indicators of Sustainable Competitiveness for Malaysian Tourism.
Asian Journal of Business Research …, 2022
[17] Factors Influencing Repurchase Intention of Facemasks from Online Platforms.
International Research Journal of …, 2022
[18] Comparison of machine learning methods for a diabetes prediction information system
2021
[19] Online shopping purchasing prediction
2021
[20] Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs
2021
[21] Investigation of Influential Factors of Predicting Individuals' Use and Non-use of Fitness and Diet Apps on Smartphones: Application of the Machine Learning Algorithm …
2021
[22] Perception, acceptance and willingness of older adults in Malaysia towards online shopping: a study using the UTAUT and IRT models
2020
[23] Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain
2020
[24] Machine Learning Model for Predicting Purchase Nature of Customer
2020
[25] Online retail in India: a comparative analysis of top business players
2020
[26] Design and Application of a Prediction Model for User Purchase Intention Based on Big Data Analysis.
2020
[27] A Stacking Ensemble of Multi Layer Perceptrons to Predict Online Shoppers' Purchasing Intention
2020
[28] Prediction of Repeat Customers on E‐Commerce Platform Based on Blockchain
Wireless communications and mobile …, 2020
[29] Comportement d'achat online: facteurs explicatifs du montant des achats. Une étude exploratoire
Management & sciences sociales, 2019
[30] Social Media Sponsorship: Metrics for Finding the Right Content Creator-Sponsor Matches
2019
[31] Adoption barriers in engaging young consumers in the Omni-channel retailing
2019
[32] ДОСЛІДЖЕННЯ ТА ЕКСПЕРИМЕНТАЛЬНИЙ АНАЛІЗ МЕТОДІВ МАШИННОГО НАВЧАННЯ В ЗАДАЧАХ ЕЛЕКТРОННОЇ КОМЕРЦІЇ
2019
[33] Анализ и прогнозирование потребительского поведения на основе системы взаимодействия с клиентами
2019
[34] Vehicle route optimization system with stochastic demands including predictive models
Thesis, 2019
[35] Predicting Bank Financial Failures using Random Forest
2018
[36] Prediction of Consumer Behaviour using Random Forest Algorithm
2018
[37] Design and Application of a Prediction Model for User Purchase Intention Based on Big Data Analysis Design and Application of a Prediction Model for …
[38] Optimizing Classification Methods for Online Buyers' Purchase Intentions in Bangladesh
SCIRP Newsletter
Copyright © 2006-2026 Scientific Research Publishing Inc. All Rights Reserved.
Top