Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models-Reference-Cited by-同舟云学术

Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models

Published:2020 Issue: Volume: Page:419-430
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
language:
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Author:

Rama Alberto Mateos^ORCID,Rodriguez-Fernandez Victor^ORCID,Camacho David^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-43722-0_27

Reference10 articles.

1. League of legends twitch channel becomes first to reach 1 billion views. https://www.cnet.com/news/league-of-legends-twitch-channel-becomes-first-to-reach-1-billion-views/. Accessed 30 Oct 2019

2. Riot games reveals league of legends has 100 million monthly players. https://www.forbes.com/sites/insertcoin/2016/09/13/riot-games-reveals-league-of-legends-has-100-million-monthly-players/. Accessed 30 Oct 2019

3. Baltezarević, R., Baltezarević, B., Baltezarević, V.: The video gaming industry: from play to revenue. Int. Rev. 3–4, 71–76 (2018)

4. Baum, L.E., Petrie, T.: Statistical inference for probabilistic functions of finite state Markov chains. Ann. Math. Stat. 37, 1554–1563 (1966)

5. Helske, S., Helske, J.: Mixture hidden Markov models for sequence data: the seqHMM package in R. arXiv preprint arXiv:1704.00543 (2017)

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