357 search results - page 13 / 72 » Anomaly Detection Using Process Mining |
ESWA
2008
13 years 7 months ago
2008
DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
ICANNGA
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on si...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
GIS
2008
ACM
14 years 8 months ago
2008
ACM
This paper presents a case study on the application of data mining to the problem of detecting ecosystem disturbances from vegetation cover data obtained from satellite observatio...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...