Player performance prediction in massively multiplayer online role-playing games (MMORPGs)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6119 LNAI, Issue PART 2, 2010, Pages 71-80

  Shim, Kyong Jin ^a   Sharan, Richa ^a   Srivastava, Jaideep ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPREHENSIVE PERFORMANCE; DISCRETIZATIONS; FUTURE PERFORMANCE; GAME PLAYERS; MASSIVELY MULTIPLAYER; MMORPGS; OPERATIONAL ACTIVITY; PERFORMANCE DATA; PERFORMANCE MONITORING; PERFORMANCE PREDICTION; PREDICTION METHODS; PREDICTION MODEL; ROLE-PLAYING GAME; SONY ONLINE ENTERTAINMENT;

DATA MINING; MATHEMATICAL MODELS; SOCIAL NETWORKING (ONLINE);

FORECASTING;

EID: 79956292127     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13672-6_8     Document Type: Conference Paper

References (7)

1. Shim, K.J., Ahmad,M., Pathak, N., Srivastava, J.: Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs), cse. In: International Conference on Computational Science and Engineering, vol. 4, pp. 1199-1204 (2009)
2. Silver, N.: Introducing PECOTA, pp. 507-514. Baseball Prospectus, Hyattsville (2003)
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7. Shim, K.J., Sharan, R., Srivastava, J.: Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs), Technical Report 10-003, Department of Computer Science and Engineering, University of Minnesota