Title

Dota2 game predicting system using data mining

Date of Publication

2014

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Databases and Information Systems

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Solomon See

Defense Panel Chair

Ethel C. Ong

Defense Panel Member

Nelson Marcos
Solomon See
Remedios Bulos

Abstract/Summary

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.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTU019263

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

leaves ; 4 3/4 in.

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