Learning Event Detection Rules with Noise Hidden Markov Models
Mutschler C, Philippsen M (2012)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2012
Edited Volumes: Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Pages Range: 159-166
Conference Proceedings Title: Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2012)
Event location: Nuremberg, Germany
ISBN: 978-1-4673-1914-0
URI: http://www2.informatik.uni-erlangen.de/publication/download/AHS2012.pdf
Abstract
Complex Event Processing (CEP) is a popular method to monitor processes in several contexts, especially when dealing with incidents at distinct points in time. Specific temporal combinations of various events are often of special interest for automatic detection. For the description of such patterns, one can either implement rules in some higher programming language or use some Event Description Language (EDL). Both is complicated and error-prone for non-engineers, because it varies greatly from natural language. Therefore, we present a method, by which a domain expert can simply signal the occurrence of a significant incident at a specific point in time. The system then infers rules for automatically detecting such occurrences later on. At the core of our approach is an extension of hidden Markov models (HMM) called noise hidden Markov models (nHMM) that can be trained with existing, low-level event data. The nHMM can be applied online without any intervention of programming experts. An evaluation on both synthetic and real event data shows the efficiency of our approach even under the presence of highly frequent, insignificant events and uncertainty in the data. © 2012 IEEE.
Authors with CRIS profile
Christopher Mutschler
Lehrstuhl für Informatik 2 (Programmiersysteme)
Michael Philippsen
Lehrstuhl für Informatik 2 (Programmiersysteme)
How to cite
APA:
Mutschler, C., & Philippsen, M. (2012). Learning Event Detection Rules with Noise Hidden Markov Models. In Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2012) (pp. 159-166). Nuremberg, Germany, DE.
MLA:
Mutschler, Christopher, and Michael Philippsen. "Learning Event Detection Rules with Noise Hidden Markov Models." Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2012), Nuremberg, Germany 2012. 159-166.
BibTeX: Download