Looking for archetypes: Applying game data mining to hearthstone decks-Reference-Cited by-同舟云学术

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Looking for archetypes: Applying game data mining to hearthstone decks

Published:2022-08 Issue: Volume:43 Page:100498
ISSN:1875-9521
Container-title:Entertainment Computing
language:en
Short-container-title:Entertainment Computing

Author:

Mora Antonio M.,Tonda Alberto,Fernández-Ares Antonio J.,García-Sánchez Pablo

Funder

Federación Española de Enfermedades Raras

Ministerio de Economía y Competitividad

Junta de Andalucía

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Software

Reference38 articles.

1. Modeling Players;Yannakakis,2018

2. P. García-Sánchez, A.P. Tonda, A.J.F. Leiva, C. Cotta, Optimizing Hearthstone agents using an Evolutionary Algorithm, Knowl. Based Syst. 188.

3. C. Rughinis, Citizen science, galaxies and tropes: Knowledge creation in impromptu crowd science movements, in: 2016 15th RoEduNet Conference: Networking in Education and Research, 2016, pp. 1–6.

4. J.A. Hartigan, M.A. Wong, Algorithm AS 136: A K-Means clustering algorithm, Journal of the royal statistical society. series c (applied statistics) 28 (1) (1979) 100–108.

5. Hierarchical clustering;Everitt;Cluster Anal.,2011

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Scalable Algorithm for Vertical Mining of Quantitative Frequent Patterns;2023 IEEE Smart World Congress (SWC);2023-08-28

2. A Recommender System for an Online Game Platform in the Metaverse;2023 IEEE Smart World Congress (SWC);2023-08-28

3. CreativeStone: a Creativity Booster for Hearthstone Card Decks;IEEE Transactions on Games;2023

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