Sales Predictions for Video Games Using Predictive Analytics of Market Data

Research output: Contribution to book or proceedingConference articlepeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024
EditorsGeetam Singh Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1510-1516
Number of pages7
ISBN (Electronic)9798331505264
DOIs
StatePublished - 2024
Event16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024 - Indore, India
Duration: Dec 22 2024Dec 23 2024

Publication series

NameProceedings - 2024 IEEE 16th International Conference on Communication Systems and Network Technologies, CICN 2024

Conference

Conference16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024
Country/TerritoryIndia
CityIndore
Period12/22/2412/23/24

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

Keywords

  • Analytics
  • Decision Tree
  • Linear Regression
  • Predictive Modeling
  • Sales Forecasting

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