Multidimensional Analysis of Atypical Events in Cyber-Physical Data

— A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational) components to form a situation-integrated analytical system that may respond intelligently to dynamic changes of the real-world situations. CPS claims many promising applications, such as traffic observation, battlefield surveillance and sensor-networkbased monitoring. One important research topic in CPS is about the atypical event analysis, i.e., retrieving the events from large amount of data and analyzing them with spatial, temporal and other multi-dimensional information. Many traditional approaches are not feasible for such analysis since they cannot describe the complex atypical events. In this study, we propose a new model of atypical cluster to effectively represent such events and efficiently retrieve them from massive data. The micro-cluster is designed to summarize an individual event, and the macrocluster is used to integrate the information from multiple ...

• Type: Journal
• Year: 2012
• Where: ICDE
• Authors: Lu An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith
• Keywords: Clustering Algorithm, Database, ICDE 2012, Massive Data, Promising Applications