Data Mining of Movement and Action Logs of MMORPG Players

研究结果涵盖了三个数据挖掘主题，以提高网络游戏的服务质量，即，1.基于动作和/或移动日志的用户聚类，2.基于项目日志检测不当行为用户，以及3.基于游戏重访模式预测退休用户。除了在线游戏之外，这些结果还具有在无处不在的IT环境下提供个性化服务的应用的高潜力。

Research findings cover three data mining topics for improving the service quality of online games, i.e., 1. user clustering based on action and/or movement log, 2. detection of misconduct users based on item log, and 3. prediction of retiring users based on game revisit patterns. In addition to online games, these results also have high potential for applications that provide personalized services under ubiquitous IT environment.