On finding the point where there is no return: Turning point mining on game data

• Main Authors: GONG, Wei, LIM, Ee Peng, ZHU, Feida, PALAKORN, Achananuparp, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Algorithms; Data mining; Critical moment; Pattern mining; Prefix spans; Sequence mining; Tetris game; Turning points; Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1978; https://ink.library.smu.edu.sg/context/sis_research/article/2977/viewcontent/SDM_14_ZhuFD.pdf
• Institution: Singapore Management University

Gaming expertise is usually accumulated through playing or watching many game instances, and identifying critical moments in these game instances called turning points. Turning point rules (shorten as TPRs) are game patterns that almost always lead to some irreversible outcomes. In this paper, we fo...