Please use this identifier to cite or link to this item: http://192.168.1.35:80/jspui/handle/1893/21087
Title: Mining Tracks of Competitive Video Games
Authors: 0000-0002-6177-5307;Rioult, Francois;Metivier, Jean-Philippe;Helleu, Boris;Scelles, Nicolas;Durand, Christophe
subject: electronic sport
MOBA
data mining
classification
Sport
Year: 9-Jan-2018
2014
Publisher: Elsevier
place: University of Caen;University of Caen;University of Caen;University of Caen
Description: The development and professionalization of a video game requires tools for analyzing the practice of the players and teams, their tactics and strategies. These games are very popular and by nature numerical, they provide many tracks that we analyzed in terms of team play. We studied Defense of the Ancients (DotA), a Multiplayer Online Battle Arena (MOBA), where two teams battle in a game very similar to rugby or American football. Through topological measures - area of polygon described by the players, inertia, diameter, distance to the base - that are independent of the exact nature of the game, we show that the outcome of the match can be relevantly predicted. Mining e-sport's tracks is opening interest in further application of these tools for analyzing real time sport.;VoR - Version of Record;REF Compliant by Deposit in Stirling's Repository
URI: http://hdl.handle.net/1893/21087
http://dspace.stir.ac.uk/bitstream/1893/21087/1/1-s2.0-S221267161400081X-main.pdf
https://dspace.stir.ac.uk/handle/1893/21087
Standard no: 10.1016/j.aasri.2014.08.014
WOS:000345433600013
618562
Type Of Material: Conference Paper
Appears in Collections:Faculty of Health Sciences and Sport

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