A Data Mining Study on League of Legends
| dc.contributor.author | Tanyildizi, Erkan | |
| dc.contributor.author | Yildirim, Gokce | |
| dc.contributor.author | Kaya, Ogun Can | |
| dc.date.accessioned | 2026-08-12T16:08:20Z | |
| dc.date.issued | 2019 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | 1st International Informatics and Software Engineering Conference, IISEC 2019 -- 6 November 2019 through 7 November 2019 -- Ankara -- 157111 | |
| dc.description.abstract | The popularity of computer games is increasing with developing technology. Online games, where people interact with each other, are particularly preferred. Among the online games, League of Legends is one of the paced and highly competitive games. In such games, the champion's choices stages and selection restrictions are important. Data analysis should be performed well in order to predict the result of the game. Data mining methods can be used in data analyzes. In this study, the effect of the choices, restrictions and in-game events in future games on winning or losing the game will be predicted. Some of the classification algorithms have applied to the data set. As a result of the studies, it was determined that there is a connection between the player's choices and the winning or losing of the game. © 2019 IEEE. | |
| dc.identifier.doi | 10.1109/UBMYK48245.2019.8965530 | |
| dc.identifier.isbn | 978-172813992-0 | |
| dc.identifier.scopus | 2-s2.0-85079210875 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/UBMYK48245.2019.8965530 | |
| dc.identifier.uri | https://hdl.handle.net/11508/41151 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20260511 | |
| dc.subject | Classification Algorithms; Data mining; Decision Trees; League of Legends | |
| dc.title | A Data Mining Study on League of Legends | |
| dc.title.alternative | League of Legends Oyunu Üzerine Bir Veri Madenciligi Çalismasi | |
| dc.type | Conference Object |







