Author
Liu, M., Rundensteiner, E. A., Greenfield, K., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.
Publication Date
2010
Publication Place
-
IEEE
Subject
E-Cube, Data mining, OLAP, RFID based supply chain management systems, Complex event processing
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-4244-5445-7
Record ID
14e76859-5638-4b0c-9130-5ece52c81fd0
Library Location
Computer Science
Date
2010
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
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
