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CAISE
2009
Springer
15 years 4 months ago
Anomaly Detection Using Process Mining
Abstract. Recently, several large companies have been involved in financial scandals related to mismanagement, resulting in financial damages for their stockholders. In response, c...
Fábio de Lima Bezerra, Jacques Wainer, Wil ...
ISSS
1998
IEEE
104views Hardware» more  ISSS 1998»
15 years 5 months ago
Synchronization Detection for Multi-Process Hierarchical Synthesis
Complex system specifications are often hierarchically composed of several subsystems. Each subsystem contains one or more processes. In order to provide optimization across diffe...
Oliver Bringmann, Wolfgang Rosenstiel, Dirk Reicha...
DMIN
2009
119views Data Mining» more  DMIN 2009»
14 years 10 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 5 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
BPM
2008
Springer
217views Business» more  BPM 2008»
15 years 2 months ago
Detecting Regulatory Compliance for Business Process Models through Semantic Annotations
A given business process may face a large number of regulatory obligations the process may or comply with. Providing tools and techniques through which an evaluation of the complia...
Guido Governatori, Jörg Hoffmann, Shazia Wasi...