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dc.contributor.authorLiu, M.
dc.contributor.authorRundensteiner, E. A.
dc.contributor.authorGreenfield, K.
dc.contributor.authorGupta, C.
dc.contributor.authorWang, S.
dc.contributor.authorArı, İsmail
dc.contributor.authorMehta, A.
dc.date.accessioned2011-01-10T08:46:52Z
dc.date.available2011-01-10T08:46:52Z
dc.date.issued2010
dc.identifier.isbn978-1-4244-5445-7
dc.identifier.urihttp://hdl.handle.net/10679/133
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5447886
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractMany 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.sponsorshipNSF
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
dc.rightsrestrictedAccess
dc.titleE-Cube: multi-dimensional event sequence processing using concept and pattern hierarchiesen_US
dc.typeConference paperen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-6159-0484 & YÖK ID 43541) Arı, İsmail
dc.contributor.ozuauthorArı, İsmail
dc.identifier.startpage1097
dc.identifier.endpage1100
dc.identifier.wosWOS:000286933100124
dc.identifier.doi10.1109/ICDE.2010.5447886
dc.subject.keywordsE-Cubeen_US
dc.subject.keywordsData miningen_US
dc.subject.keywordsOLAPen_US
dc.subject.keywordsRFID based supply chain management systemsen_US
dc.subject.keywordsComplex event processingen_US
dc.identifier.scopusSCOPUS:2-s2.0-77952787686
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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