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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1097-1100
Abhay Mehta , Hewlett-Packard Labs, USA
Song Wang , Hewlett-Packard Labs, USA
Chetan Gupta , Hewlett-Packard Labs, USA
Elke Rundensteiner , Worcester Polytechnic Institute, USA
Mo Liu , Worcester Polytechnic Institute, USA
Kara Greenfield , Worcester Polytechnic Institute, USA
Ismail Ari , Ozyegin University, Turkey
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.
Abhay Mehta, Song Wang, Chetan Gupta, Elke Rundensteiner, Mo Liu, Kara Greenfield, Ismail Ari, "E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 1097-1100, 2010, doi:10.1109/ICDE.2010.5447886
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