DocumentCode :
1872570
Title :
Conjunction, sequence, and interval relations in event stream processing
Author :
Bhandari, Sakshi ; Urban, Susan D.
Author_Institution :
Dept. of Comput. Sci., Texas Tech Univ., Lubbock, TX, USA
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
1489
Lastpage :
1494
Abstract :
The conjunction operator can be augmented with temporal constraints to define an arbitrary pattern of events in event stream processing (ESP). However, using temporal constraints to specify patterns can be complex. This research has defined an operator hierarchy, where the top of the hierarchy defines the conjunction operator and the leaves of the hierarchy define more specific semantics associated with a sequence of events. The use of the specialized operators simplifies pattern expression and make the sequence semantics clear. Furthermore, in an experimental study, patterns using operators from the hierarchy outperform patterns expressed using the conjunction operator with temporal constraints in run time performance, further validating the usefulness of the operator hierarchy.
Keywords :
data mining; ESP; conjunction operator; event stream processing; interval relation; operator hierarchy; pattern expression; sequence; temporal constraint; Bars; Complexity theory; Computer science; Educational institutions; Encoding; Runtime; Semantics; event operators; event processing language; operator semantics; sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location :
Krako??w
Type :
conf
Filename :
6644214
Link To Document :
بازگشت