Publication: E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
dc.contributor.author | Liu, M. | |
dc.contributor.author | Rundensteiner, E. A. | |
dc.contributor.author | Greenfield, K. | |
dc.contributor.author | Gupta, C. | |
dc.contributor.author | Wang, S. | |
dc.contributor.author | Arı, İsmail | |
dc.contributor.author | Mehta, A. | |
dc.contributor.department | Computer Science | |
dc.contributor.ozuauthor | ARI, Ismail | |
dc.date.accessioned | 2011-01-10T08:46:52Z | |
dc.date.available | 2011-01-10T08:46:52Z | |
dc.date.issued | 2010 | |
dc.description | Due to copyright restrictions, the access to the full text of this article is only available via subscription. | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | NSF | |
dc.identifier.doi | 10.1109/ICDE.2010.5447886 | |
dc.identifier.endpage | 1100 | |
dc.identifier.isbn | 978-1-4244-5445-7 | |
dc.identifier.scopus | 2-s2.0-77952787686 | |
dc.identifier.startpage | 1097 | |
dc.identifier.uri | http://hdl.handle.net/10679/133 | |
dc.identifier.uri | https://doi.org/10.1109/ICDE.2010.5447886 | |
dc.identifier.wos | 000286933100124 | |
dc.language.iso | eng | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | published | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) | |
dc.relation.publicationcategory | International | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | E-Cube | en_US |
dc.subject.keywords | Data mining | en_US |
dc.subject.keywords | OLAP | en_US |
dc.subject.keywords | RFID based supply chain management systems | en_US |
dc.subject.keywords | Complex event processing | en_US |
dc.title | E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies | en_US |
dc.type | Conference paper | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 85662e71-2a61-492a-b407-df4d38ab90d7 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 85662e71-2a61-492a-b407-df4d38ab90d7 |
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