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Identifying Avatar Aliases in Starcraft 2

Olivier Cavadenti 1 Victor Codocedo 1 Jean-François Boulicaut 1 Mehdi Kaytoue 1 
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In electronic sports, cyberathletes conceal their online training using different avatars (virtual identities), allowing them not being recognized by the opponents they may face in future competitions. In this article, we propose a method to tackle this avatar aliases identification problem. Our method trains a classifier on behavioural data and processes the confusion matrix to output label pairs which concentrate confusion. We experimented with Starcraft 2 and report our first results.
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Submitted on : Wednesday, August 12, 2015 - 12:15:53 PM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
Long-term archiving on: : Friday, November 13, 2015 - 11:39:29 AM


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  • HAL Id : hal-01180151, version 2
  • ARXIV : 1508.00801


Olivier Cavadenti, Victor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue. Identifying Avatar Aliases in Starcraft 2. 2015. ⟨hal-01180151v2⟩



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