Information Technology: Faculty Publications

Sales Predictions for Video Games Using Predictive Analytics of Market Data

Document Type

Conference Proceeding

Publication Date

1-27-2024

Publication Title

IEEE 16th International Conference on Communication Systems and Network Technologies Proceedings

DOI

10.1109/CICN63059.2024.10847429

ISBN

9798331505264

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.

Comments

Georgia Southern University faculty members, Atef Mohamed Shalan and Christopher Kadlec co-authored "Sales Predictions for Video Games Using Predictive Analytics of Market Data".

Copyright

This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.

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