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dc.contributor.authorMohania, M.
dc.contributor.authorDhruv, S.
dc.contributor.authorGupta, S.
dc.contributor.authorBhowmick, S.
dc.contributor.authorDillon, Tharam S.
dc.contributor.editorKim Viborg Andersen
dc.contributor.editorJohn Debenham
dc.contributor.editorRoland Wagner
dc.date.accessioned2017-01-30T15:20:27Z
dc.date.available2017-01-30T15:20:27Z
dc.date.created2015-09-29T01:51:41Z
dc.date.issued2005
dc.identifier.citationMohania, M. and Dhruv, S. and Gupta, S. and Bhowmick, S. and Dillon, T.S. 2005. Event composition and detection in data stream management systems, in Kim Viborg Andersen, John Debenham and Roland Wagner (ed), 16th International Conference on Database and Expert Systems Applications (DEXA 2005), Aug 22 2005, pp. 756-765. Copenhagen, Denmark: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45362
dc.identifier.doi10.1007/11546924_74
dc.description.abstract

There has been a rising need to handle and process streaming kind of data. It is continuous, unpredictable, time-varying in nature and could arrive in multiple rapid streams. Sensor data, web clickstreams, etc. are the examples of streaming data. One of the important issues about streaming data management systems is that it needs to be processed in real-time. That is, active rules can be defined over data streams for making the system reactive. These rules are triggered based on the events detected on the data stream, or events detected while summarizing the data or combination of both. In this paper, we study the challenges involved in monitoring events in a Data Stream Management System (DSMS) and how they differ from the same in active databases. We propose an architecture for event composition and detection in a DSMS, and then discuss an algorithm for detecting composite events defined on both the summarized data streams and the streaming data.

dc.publisherSpringer
dc.subjectEvent Composition
dc.subjectDSMS
dc.subjectevent detection
dc.subjectdata stream management systems
dc.titleEvent composition and detection in data stream management systems
dc.typeConference Paper
dcterms.source.startPage756
dcterms.source.endPage765
dcterms.source.titleDatabase and Expert Systems Applications
dcterms.source.seriesDatabase and Expert Systems Applications
dcterms.source.isbn9783540285663
dcterms.source.conference16th International Conference on Database and Expert Systems Applications (DEXA 2005)
dcterms.source.conference-start-dateAug 22 2005
dcterms.source.conferencelocationCopenhagen, Denmark
dcterms.source.placeHeidelberg
curtin.accessStatusFulltext not available


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