E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies

Name: E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
Author: Liu, M., Rundensteiner, E. A., Greenfield, K., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.

İsim	E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
Yazar	Liu, M., Rundensteiner, E. A., Greenfield, K., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.
Basım Tarihi:	2010
Basım Yeri	- IEEE
Konu	E-Cube, Data mining, OLAP, RFID based supply chain management systems, Complex event processing
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4244-5445-7
Kayıt Numarası	14e76859-5638-4b0c-9130-5ece52c81fd0
Lokasyon	Computer Science
Tarih	2010
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1109/ICDE.2010.5447886

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E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies

Yazar Liu, M., Rundensteiner, E. A., Greenfield, K., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.

Basım Tarihi 2010

Basım Yeri - IEEE

Konu E-Cube, Data mining, OLAP, RFID based supply chain management systems, Complex event processing

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4244-5445-7

Kayıt Numarası 14e76859-5638-4b0c-9130-5ece52c81fd0

Lokasyon Computer Science

Tarih 2010

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1109/ICDE.2010.5447886