Application of Graphical Models in the Automotive Industry-Reference-Cited by-同舟云学术

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Application of Graphical Models in the Automotive Industry

Published:2008 Issue: Volume: Page:79-88
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Steinbrecher Matthias,Rügheimer Frank,Kruse Rudolf

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-79257-4_5.pdf

Reference15 articles.

1. R. Agrawal, T. Imielinski, and A.N. Swami. Mining Association Rules between Sets of Items in Large Databases. In P. Buneman and S. Jajodia, editors, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, DC, May 26–28, 1993, pp. 207–216. ACM Press, New York, 1993.

2. C. Borgelt and R. Kruse. Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. In First International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU/FAPR’97), pp. 71–85, Bad Honnef, Germany, 1997.

3. C. Borgelt and R. Kruse. Probabilistic and possibilistic networks and how to learn them from data. In O. Kaynak, L. Zadeh, B. Turksen, and I. Rudas, editors, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, NATO ASI Series F, pp. 403–426. Springer, Berlin Heidelberg New York, 1998.

4. C. Borgelt and R. Kruse. Graphical Models – Methods for Data Analysis and Mining. Wiley, Chichester, 2002.

5. E. Castillo, J.M. Gutiérrez, and A.S. Hadi. Expert Systems and Probabilistic Network Models. Springer, Berlin Heidelberg New York, 1997.

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1. Clustering Association Rules with Fuzzy Concepts;Advances in Data Analysis, Data Handling and Business Intelligence;2009

2. Assessing the Strength of Structural Changes in Cooccurrence Graphs;KI 2009: Advances in Artificial Intelligence;2009

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