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"Game Usage Mining: Information Gathering for Knowledge Discovery in Massive Multiplayer Games"

[Bibliography] [Bibtex Citation]

Authors: A. Tveit and G. B. Tveit

Abstract:
Multiplayer games provide rich sources of information for data mining. The primary purpose of data mining in games is to find patterns of behavior, structure or content in order to improve the overall gameplay, hence keeping players longer and increasing the revenue of the game service. In this paper we define the term game usage mining and describe it from web usage mining perspective, with the main emphasis on data gathering. A classification of game types from a data mining perspective is also suggested. Based on the discussion we propose content for a common game log format suitable for game usage mining.

Keywords: Massive Multiplayer Games, Web Usage Mining, Information Gathering

Bibtex Citation:

@Proceedings{2002:ICIC:Tveit,
      author    = {Amund Tveit and Gisle B. Tveit},
      title     = "{Game Usage Mining: Information Gathering for Knowledge Discovery in Massive Multiplayer Games}",
      booktitle = {Proceedings of the International Conference on Internet Computing (IC'2002), session on Web Mining (forthcoming)},
      month     = {June},
      year      = {2002},
      publisher = {CSREA Press} 	
}

Known Citations:
  1. Paulo Ribeiro. "A Vertente Multidisciplinar Dos Jogos De Computador E A Investigacao No Cisuc", Mestrado em Informatica e Sistemas, Departemento de Engenharia Informatica, University of Coimbra, Portugal, 2003/2004

  2. Richi Nayak and Lawrence Seow. "Knowledge Discovery in Mobile Business Data", Chapter 6 of Mobile Commerce Applications (editor: Nan Si Shi), ISBN: 1591401828, IDEA Group Inc, USA

  3. Ruck Thawonmas. "Ambition of Game Mining" IPSJ Symposium Series, Vol. 2003, No. 1, 2003 (in Japanese)
  4. Håvard Engum, Jørgen Vinne Iversen, and Øyvind Rein. "Zereal: A semi-realistic simulator of Massively Multiplayer Games" Technical Report, NTNU, Trondheim, Norway ,November, 2002


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