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Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction

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dc.abstract.enWe summarize the sixth data mining competition organized at the Knowledge Pit platform in association with the Federated Conference on Computer Science and Information Systems series, titled Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. We outline the scope of this challenge and briefly present its results. We also discuss the problem of acquiring knowledge about new notions from video games through an active learning cycle. We explain how this task is related to the problem considered in the challenge and share results of experiments that we conducted to demonstrate usefulness of the active learning approach in practice.
dc.affiliationUniwersytet Warszawski
dc.conference.countryNiemcy
dc.conference.datefinish2019-09-04
dc.conference.datestart2019-09-01
dc.conference.placeLeipzig
dc.conference.seriesCONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS
dc.conference.seriesCONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS
dc.conference.seriesshortcutFedCSIS
dc.conference.shortcutFedCSIS 2019
dc.conference.weblinkhttps://fedcsis.org/2019/
dc.contributor.authorJanusz, Andrzej
dc.contributor.authorGrad, Łukasz
dc.contributor.authorGrzegorowski, Marek
dc.date.accessioned2024-01-24T19:24:55Z
dc.date.available2024-01-24T19:24:55Z
dc.date.issued2019
dc.description.financeNie dotyczy
dc.identifier.doi10.15439/2019F365
dc.identifier.issn2300-5963
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/103110
dc.identifier.weblinkhttps://doi.org/10.15439/2019F365
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofAnnals of Computer Science and Information Systems
dc.relation.pages3–6
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleClash Royale Challenge: How to Select Training Decks for Win-rate Prediction
dc.typeJournalArticle
dspace.entity.typePublication