Dota2 game predicting system using data mining
Date of Publication
Bachelor of Science in Computer Science
Databases and Information Systems
College of Computer Studies
Defense Panel Chair
Ethel C. Ong
Defense Panel Member
The purpose of this research is to aid in the development of Sports Analytics more specifically in the emerging field of electronic sports. Since eSports is slowly beginning to be a part of the business world, investors may need to rely on Analytics since it brings facts for the investors to rely on. The problem for business investors is that there is not much model and analytics for eSports in order for them to pick which organizations to invest in. The approach is to study analytics on traditional sports. Then incorporate the analytics of traditional sports to electronic sports. Next approach is to gather data about the players specifically the game Defense of the Ancients and with that data, build a predictive model using techniques in data mining and sports analytics. By getting match history and building the predictive model out of it, investors and researchers will have a stepping stone on venturing into the eSports world and eSports analytics.
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
leaves ; 4 3/4 in.
Imperial, M. (2014). Dota2 game predicting system using data mining. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/2655