Event composition and detection in data stream management systems

Mohania, M; Swamini, D; Gupta, SK; Bhowmick, S; Dillon, TS

Event composition and detection in data stream management systems

Mohania, M Swamini, D Gupta, SK Bhowmick, S Dillon, TS

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Publisher:: Springer-Verlag Berlin
Publication Type:: Conference Proceeding
Citation:: Database And Expert Systems Applications, Proceedings, 2005, 3588 pp. 756 - 765
Issue Date:: 2005-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Mohania, M	en_US
dc.contributor.author	Swamini, D	en_US
dc.contributor.author	Gupta, SK	en_US
dc.contributor.author	Bhowmick, S	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.editor	NA	en_US
dc.date	2005-08-22	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Database And Expert Systems Applications, Proceedings, 2005, 3588 pp. 756 - 765	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1908
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	en_US
dc.publisher	Springer-Verlag Berlin	en_US
dc.relation.ispartof	Database And Expert Systems Applications, Proceedings	en_US
dc.relation.ispartof	International Conference on Database and Expert Systems Applications	en_US
dc.relation.isbasedon	10.1007/11546924_74	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Event composition and detection in data stream management systems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3588	en_US
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Copenhagen, Denmark	en_US
utslib.for	080105 Expert Systems	en_US
dc.location.activity	Copenhagen, Denmark	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Berlin, Germany	en_US
pubs.start-date	2005-08-22	en_US
pubs.volume	3588	en_US

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

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/1908