The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods
In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …
marketing in order to transform customer data into meaningful insights and to make strategic …
Setting Importance of Features Through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis
This study attempts to set the importance of features that influence the target variable. A set
of algorithms, namely, Random Forest (RF), Minimum Redundancy Maximal Relevancy …
of algorithms, namely, Random Forest (RF), Minimum Redundancy Maximal Relevancy …
Forecasting e-commerce trends: utilizing linear regression, polynomial regression, random forest, and gradient boosting for accurate sales and demand prediction
P Naresh Kumar Reddy - … Journal of HRM and Organizational Behavior, 2023 - ijhrmob.org
The rapid expansion of e-commerce has made the application of advanced methods for
accurate demand and sales forecasting necessary. To predict e-commerce trends, this study …
accurate demand and sales forecasting necessary. To predict e-commerce trends, this study …
Potential of Machine Learning in Demand Forecasting Based on Point of Sales Data for Food Producers
SEE Næss - 2023 - ntnuopen.ntnu.no
This master's thesis investigates the" Potential of Machine Learning in Demand Forecasting
Based on Point of Sales (POS) Data for Food Producers." The central goal was to evaluate …
Based on Point of Sales (POS) Data for Food Producers." The central goal was to evaluate …
A Subtle Design of Prediction Models Using Machine Learning Algorithms for Advocating Selection and Forecasting Sales of Garments: A Case Study
D Rout, B Roy, P Kapse - International Conference on Advances in Data …, 2023 - Springer
In this article, the predictive analysis is conducted for a garment retail dataset that contains
the attributes of the dresses and sales information. Precisely, Random Forest (RF), Linear …
the attributes of the dresses and sales information. Precisely, Random Forest (RF), Linear …
An Association Based Approach to Elicit and Measure Impact of Features on Sales of a Garment Retail
D Rout, A Kotangale, S Nath… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
In this article, an association-based approach is proposed for determining the feature
importance of a given dataset which includes the target variable. In particular, the concept of …
importance of a given dataset which includes the target variable. In particular, the concept of …
[引用][C] Técnicas estadísticas en predicción de la demanda en el sector comercio
A Mesta Carmona - 2021