Globally Optimized Matchmaking in Online Games Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

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Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Modeling and analyzing of an enterprise relationship network in the context of social manufacturing - Kai Ding, Pingyu Jiang, Jiewu Leng, Wei Cao, 2016
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Socializing by Gaming: Revealing Social Relationships in Multiplayer Online Games: ACM Transactions on Knowledge Discovery from Data: Vol 10, No 2
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Analyzing the Differences between Professional and Amateur Esports through Win Probability
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Analyzing the Differences between Professional and Amateur Esports through Win Probability
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
PDF) A Game-Theoretic Approach to Co-operative Context-Aware Driving with Partially Random Behavior
Globally Optimized Matchmaking in Online Games  Proceedings of the 27th  ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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