A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)

Optimizing Complex Event Processing (CEP) patterns become more interesting topic for researchers due to highly demanding in different areas including RFID based inventory management, Decision support systems, intrusion detection in networks, and many other systems dealing with pattern matching over...

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主要作者: Behravesh, Babak
格式: Thesis
语言:English
出版: 2009
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在线阅读:http://eprints.utm.my/id/eprint/11448/6/BabakBehraveshMFSKSM2009.pdf
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spelling my-utm-ep.114482017-09-17T03:55:38Z A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall) 2009-11 Behravesh, Babak QA75 Electronic computers. Computer science Optimizing Complex Event Processing (CEP) patterns become more interesting topic for researchers due to highly demanding in different areas including RFID based inventory management, Decision support systems, intrusion detection in networks, and many other systems dealing with pattern matching over time series data. Regular expression matching is a well-studied field. In order to achieve better results, one solution is to revise existing algorithms and techniques to make patterns shorter and reducing system overload. In this study, we proposed a complex event processing engine considering historical data in the process of generating more efficient pattern for incoming events. An algorithm is proposed to act on events based on the engine. We develop a pattern matching unit which is used to find match cases over arriving events. Experimental results have shown promising outcomes in reducing processing time with multiple patterns. 2009-11 Thesis http://eprints.utm.my/id/eprint/11448/ http://eprints.utm.my/id/eprint/11448/6/BabakBehraveshMFSKSM2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Behravesh, Babak
A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
description Optimizing Complex Event Processing (CEP) patterns become more interesting topic for researchers due to highly demanding in different areas including RFID based inventory management, Decision support systems, intrusion detection in networks, and many other systems dealing with pattern matching over time series data. Regular expression matching is a well-studied field. In order to achieve better results, one solution is to revise existing algorithms and techniques to make patterns shorter and reducing system overload. In this study, we proposed a complex event processing engine considering historical data in the process of generating more efficient pattern for incoming events. An algorithm is proposed to act on events based on the engine. We develop a pattern matching unit which is used to find match cases over arriving events. Experimental results have shown promising outcomes in reducing processing time with multiple patterns.
format Thesis
qualification_level Master's degree
author Behravesh, Babak
author_facet Behravesh, Babak
author_sort Behravesh, Babak
title A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
title_short A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
title_full A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
title_fullStr A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
title_full_unstemmed A rule modeling engine for complex event processing (a case study on passive RFID for a virtual shopping mall)
title_sort rule modeling engine for complex event processing (a case study on passive rfid for a virtual shopping mall)
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department Faculty of Computer Science and Information System
publishDate 2009
url http://eprints.utm.my/id/eprint/11448/6/BabakBehraveshMFSKSM2009.pdf
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