@inproceedings{03d65be3421540e3bddab483fec0fa7d,
title = "Sales Predictions for Video Games Using Predictive Analytics of Market Data",
abstract = "The advancements and sales of technology have changed drastically within the last twenty years, affecting the sales of video games as their platforms and content have been able to change alongside technological advances. Predictive analytics helps those in the video game industry to keep up with these constant changes when considering factors such as sales. This study considers the need and application of predictive analytics using the classification models linear regression and decision trees to predict future sales performance. We conduct this research to prove the benefits of using predictive analytics to predict future sales performance on data for video games.",
keywords = "Analytics, Decision Tree, Linear Regression, Predictive Modeling, Sales Forecasting",
author = "Dashae Gray and Shalan, {Atef Mohamed} and Christopher Kadlec",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024 ; Conference date: 22-12-2024 Through 23-12-2024",
year = "2024",
doi = "10.1109/CICN63059.2024.10847429",
language = "English",
series = "Proceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1510--1516",
editor = "Tomar, {Geetam Singh}",
booktitle = "Proceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024",
address = "United States",
}