Rule generation for categorical time series with Markov assumptions

Author:

Weiß Christian H.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference27 articles.

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2. Agrawal, R., Srikant, R.: Mining sequential patterns. In: 11th Int. Conf. on Data Engineering (ICDE ’95), Taipei, Taiwan, pp. 3–14 (1995)

3. Barnsley, M.F.: Fractals Everywhere. Academic Press, San Diego (1988)

4. Baumgarten, M., Büchner, A.G., Hughes, J.G.: Tree growth based episode mining without candidate generation. In: Int. Conf. on Artificial Intelligence (IC-AI) 2003, pp. 108–114 (2003)

5. Brejová, B., DiMarco, C., Vinař, T., Hidalgo, S.R., Holguin, G., Patten, C.: Finding patterns in biological sequences. Technical report CS-2000-22, University of Waterloo (2000)

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4. Sequential Pattern Analysis: A Statistical Investigation of Sequence Length and Support;Communications in Statistics - Simulation and Computation;2013-05

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