Liu, M.Rundensteiner, E. A.Greenfield, K.Gupta, C.Wang, S.Arı, İsmailMehta, A.2011-01-102011-01-102010978-1-4244-5445-7http://hdl.handle.net/10679/133https://doi.org/10.1109/ICDE.2010.5447886Due to copyright restrictions, the access to the full text of this article is only available via subscription.Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts of sequential multi-dimensional data available in real-time data feeds. Traditional online analytical processing (OLAP) systems are not designed for real-time pattern-based operations, while Complex Event Processing (CEP) systems are designed for sequence detection and do not support OLAP operations. We will demonstrate a novel E-Cube model that combines CEP and OLAP techniques for multi-dimensional event pattern analysis at different abstraction levels. A London transit scenario will be given to demonstrate the utility and performance of this proposed technology.enginfo:eu-repo/semantics/restrictedAccessConference paper1097110000028693310012410.1109/ICDE.2010.5447886E-CubeData miningOLAPRFID based supply chain management systemsComplex event processing2-s2.0-77952787686