Sales Predictions for Video Games Using Predictive Analytics of Market Data
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.
Authors
- Christopher Kadlec
- Denis Pereira Gray (ORCID: https://orcid.org/0000-0001-7917-3841)
- Atef Shalan
Institutions
- Georgia Southern University (US)
Publication Details
- Published
- 2024-12-22
- DOI
- https://doi.org/10.1109/cicn63059.2024.10847429
- Citations
- 1
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 1.13