Discovering Expert's Knowledge from Sequences of Discrete Event Class Occurrences

@inproceedings{Goc2008DiscoveringEK,
  title={Discovering Expert's Knowledge from Sequences of Discrete Event Class Occurrences},
  author={Marc Le Goc and Nabil Benayadi},
  booktitle={ICEIS},
  year={2008}
}
This paper is concerned with the discovery of expert’s knowledge from a sequence of alarms provided by a knowledge based system monitoring a dynamic process. The discovering process is based on the principles and the tools of the Stochastic Approach framework where a sequence is represented with a Markov chain from which binary relations between discrete event classes can be find and represented as abstract chronicle models. The problem with this approach is to reduce the search space as close… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 30 references

Modeling discrete event sequences for discovering diagnosis signatures.Proceedings of the Summer Computer Simulation

P. Bouché, M. Le Goc, N. Giambiasi
2005
View 15 Excerpts
Highly Influenced

Stochastic modeling of continuous time discrete event sequence for diagnosis

M. de Saint Jérôme. Le Goc, P. Bouché, N. Giambiasi
16 th International Workshop on Principles of Diagnosis ( DX ’ 05 ) • 2005
View 6 Excerpts
Highly Influenced

The mathematical theory of communication. 1963.

M.D. computing : computers in medical practice • 1997
View 4 Excerpts
Highly Influenced

An Information Theoretic Approach to Rule Induction from Databases

IEEE Trans. Knowl. Data Eng. • 1992
View 5 Excerpts
Highly Influenced

A Survey of Temporal Knowledge Discovery Paradigms and Methods

IEEE Trans. Knowl. Data Eng. • 2002
View 4 Excerpts
Highly Influenced

Using an oriented jmeasure to prune chronicle models

N. Benayadi, M. Le Goc
To appear in the proceedings of the 18 th International Workshop on the Principles of Diagnosis ( DX 07 ) • 2007

2006).Notion d’observation pour le diagnostic des processus dynamiques: Application à Sachem et à la découverte de connaissances temporelles

M. Le Goc
2006
View 1 Excerpt

eling discrete event sequences for discovering diagnosis signatures

P. Bouché, M. Le Goc, N. Giambiasi
Proceedings of the Summer Computer Simulation Conference ( SCSC 05 ) • 2005
View 2 Excerpts

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