DISCOVERY OF INTERMINGLED EVENT PATTERNS IN DISCRETE MONITORING DATA

Autor:	Timothy L. Johnson, Xi Wang
Rok vydání:	2007
Předmět:	Variable (computer science) Identification (information) Computer science Monitoring data Data mining computer.software_genre computer Fault detection and isolation Event (probability theory)
Zdroj:	IFAC Proceedings Volumes. 40:55-60
ISSN:	1474-6670
DOI:	10.3182/20070613-3-fr-4909.00012
Popis:	This paper considers the discovery and detection of repeating patterns in event sequence data, where the event patterns may be of variable duration, may be intermingled, and may be of variable length. These properties are characteristic of many types of monitoring and diagnostic alarm sequence data, and may be used in detecting both normal and abnormal behaviours of complex dynamic systems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2fa4abbc8019b57ee8ea9f9c45ba5704 https://doi.org/10.3182/20070613-3-fr-4909.00012 Zobrazit plný text záznamu