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

Author

Liu, Mo ; Rundensteiner, Elke ; Greenfield, Kara ; Gupta, Chetan ; Wang, Song ; Ari, Ismail ; Mehta, Abhay

Author_Institution

Worcester Polytech. Inst., Worcester, MA, USA

fYear

2010

fDate

1-6 March 2010

Firstpage

1097

Lastpage

1100

Abstract

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.

Keywords

data mining; E-Cube; London transit scenario; OLAP; RFID based supply chain management systems; complex event processing; concept hierarchies; event stream processing technology; multidimensional event pattern analysis; online analytical processing; online financial feeds; pattern hierarchies; real time pattern based operation; sequential multidimensional data; tag based mass transit system; Diseases; Event detection; Feeds; Hospitals; Monitoring; Navigation; Pattern analysis; Real time systems; Supply chain management; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Engineering (ICDE), 2010 IEEE 26th International Conference on

Conference_Location

Long Beach, CA

Print_ISBN

978-1-4244-5445-7

Electronic_ISBN

978-1-4244-5444-0

Type

conf

DOI

10.1109/ICDE.2010.5447886

Filename

5447886