[PDF][PDF] Science and Business
Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …
Forest Algorithm can be considered as one of the Machine Learning's representative …
Determining Factors for Supply Chain Services Provider Selection and Long-Term Relationship Maintenance: Evidence from Greece
Background: Due to increased globalization and its subsequent rise in competitiveness, the
role of supply chain services (3PL) in managing logistics, reducing operational and non …
role of supply chain services (3PL) in managing logistics, reducing operational and non …
Predicting customer loyalty using machine learning for hotel industry
IZP Hamdan, M Othman - Journal of Soft Computing and Data …, 2022 - penerbit.uthm.edu.my
The popularity of machine learning is growing and the demand for it is increasing in various
fields including tourism and hospitality industry specifically hotels industry. The purpose of …
fields including tourism and hospitality industry specifically hotels industry. The purpose of …
An optimum tea fermentation detection model based on deep convolutional neural networks
Tea is one of the most popular beverages in the world, and its processing involves a number
of steps which includes fermentation. Tea fermentation is the most important step in …
of steps which includes fermentation. Tea fermentation is the most important step in …
Predictive analysis of college students' academic procrastination behavior based on a decision tree model
Predicting academic procrastination among college students in the context of a public crisis
could provide essential academic support and decision-making strategies for higher …
could provide essential academic support and decision-making strategies for higher …
Homophily in higher education research: A perspective based on co-authorships
Research collaborations are the norm in science today, and are usually evaluated using co-
authorships as the unit of analysis. Research collaborations have been typically analyzed …
authorships as the unit of analysis. Research collaborations have been typically analyzed …
Predicting online shop** addiction: a decision tree model analysis
X Wan, J Zeng, L Zhang - Frontiers in Psychology, 2025 - frontiersin.org
Background Online shop** addiction has been identified as a detrimental behavioral
pattern, necessitating the development of effective mitigation strategies. Objective This study …
pattern, necessitating the development of effective mitigation strategies. Objective This study …
Classification and regression tree approach for the prediction of the seasonal apparel market: focused on weather factors
J Oh - Journal of Fashion Marketing and Management: An …, 2024 - emerald.com
Purpose Climate change-induced weather changes are severe and frequent, making it
difficult to predict apparel sales. The primary goal of this study was to assess consumers' …
difficult to predict apparel sales. The primary goal of this study was to assess consumers' …
Systematic Literature Review: Perbandingan Algoritma Klasifikasi
P Pangestu, R Novita… - Jurnal Inovtek Polbeng …, 2023 - ejournal.polbeng.ac.id
Seiring waktu, banyak metode data mining yang dibuat dan disarankan untuk membantu
dalam mengambil keputusan. Karna keterbatasan dalam sumberdaya atikel ini hanya …
dalam mengambil keputusan. Karna keterbatasan dalam sumberdaya atikel ini hanya …
Customer Loyalty Prediction for Hotel Industry Using Machine Learning Approach
Today, machine learning is utilized in several industries, including tourism, hospitality, and
the hotel industry. This project uses machine learning approaches such as classification to …
the hotel industry. This project uses machine learning approaches such as classification to …