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DC poleHodnotaJazyk
dc.contributor.authorLópez-Guzmán, Juan Guillermo
dc.contributor.authorBustacara-Medina, Cesar Julio
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-31T09:45:02Z
dc.date.available2021-08-31T09:45:02Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 171-180.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45022
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectrozpoznávání vzorůcs
dc.subjectsystémy doporučenícs
dc.subjectstrojové učenícs
dc.subjectMOBAcs
dc.subjectLeague of Legendscs
dc.subjectMultiplayer Online Battle Arenacs
dc.titleRelevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithmsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPopularity of MultiplayerOnlineBattle Arena (MOBA)video gameshas grown considerably, its popularity as well as the complexity of their playability, have attracted the attention in recent years of researchers from various areas of knowledge and in particular how they have resorted to different machine learning techniques. The papers reviewed mainly look for patterns in multidimensional data sets. Furthermore, these previous researches do not present a way to select the independent variables(predictors)to train the models. For this reason, this paper proposes a listof variables based on the techniques used and the objectives of the research. It allows to provide a set of variables to find patterns applied in MOBA videogames.In order to get the mentioned list,the consulted workswere groupedbythe used machine learning techniques, ranging from rule-based systems to complex neural network architectures. Also, a grouping technique is applied based on the objective of each research proposed.en
dc.subject.translatedrecommender systemsen
dc.subject.translatedmachine learningen
dc.subject.translatedMOBAen
dc.subject.translatedLeague of Legendsen
dc.subject.translatedMultiplayer Online Battle Arenaen
dc.subject.translatedpattern recognitionen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.19
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2021: Full Papers Proceedings

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