by Bauerdick, Hanna and Gottfried, Björn
Abstract:
In this paper we shall introduce an approach that forms a basis for temporal data mining. A relation algebra is applied for the purpose of representing simultaneously dependencies among instants, dependencies between instants and intervals, and dependencies between intervals. This enables one to specify and recognise complex interrelationships among point events in data streams. An example is set for the case of thrown alarms in communication networks. This domain, however, suffers from uncertainties in temporal patterns. Therefore a fuzzification is applied to the proposed relational system.
Reference:
Bauerdick, Hanna and Gottfried, Björn, "Fuzzy Temporal Relations for Fault Management", In 20th International FLAIRS Conference (FLAIRS 2007), AAAI Press, Key West, FL, USA, pp. 647–652, 2007.
Bibtex Entry:
@INPROCEEDINGS{Bauerdick2007,
author = {Bauerdick, Hanna and Gottfried, Bj{\"o}rn},
title = {{Fuzzy Temporal Relations for Fault Management}},
booktitle = {20th International FLAIRS Conference (FLAIRS 2007)},
year = {2007},
editor = {Wilson, David and Sutcliffe, Geoff},
pages = {647--652},
address = {Key West, FL, USA},
month = {May7--9},
publisher = {AAAI Press},
abstract = {In this paper we shall introduce an approach that forms a basis for
temporal data mining. A relation algebra is applied for the purpose
of representing simultaneously dependencies among instants, dependencies
between instants and intervals, and dependencies between intervals.
This enables one to specify and recognise complex interrelationships
among point events in data streams. An example is set for the case
of thrown alarms in communication networks. This domain, however,
suffers from uncertainties in temporal patterns. Therefore a fuzzification
is applied to the proposed relational system.},
isbn = {978-1-57735-319-5},
owner = {pmania},
timestamp = {2012.11.06}
}