Improvement of a Web Browser Game Through the Knowledge Extracted from Player Behavior

Author:

Alves João,Neves José,Lange Sascha,Riedmiller Martin

Publisher

Springer International Publishing

Reference16 articles.

1. Alves, J., Neves, J., Lange, S., Riedmiller, M.: Knowledge extraction from the behaviour of players in a web browser game. In: Proceedings of the International Conference on Knowledge, Information and Creativity Support Systems, pp. 519–530. Progress & Business Publishers, Krakow, Poland (2013)

2. Anagnostou, K., Maragoudakis, M.: Data mining for player modeling in videogames. In: 2009 13th Panhellenic Conference on Informatics, pp. 30–34 (2009)

3. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 20102015 (1 February 2011) by Cisco Systems Inc, http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html , last access September 2014

4. Cohen, W.: Fast effective rule induction. In: Proceedings of the Twelfth International Conference on Machine Learning, pp. 115–123 (1995)

5. Drachen, A., Sifa, R., Bauckhage, C., Thurau, C.: Guns, swords and data: clustering of player behavior in computer games in the wild. In: Computational Intelligence and Games, 2012 IEEE Conference on Computational Intelligence and Games, pp. 163–170 (2012)

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