Sequential anomalies: a study in the Railway Industry

Author:

Ribeiro Rita P.,Pereira Pedro,Gama João

Funder

Project MAESTRA

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference39 articles.

1. Aggarwal, C. C. (2013). Outlier analysis. Berlin: Springer.

2. Angeli, C., & Chatzinikolaou, A. (2004). On-line fault detection techniques for technical systems: A survey. International Journal of Computer Science & Applications, 1(1), 12–30.

3. Basseville, M. (1988). Detecting changes in signals and systems a survey. Automatica, 24(3), 309–326.

4. Basseville, M., & Nikiforov, I. V. (1993). Detection of abrupt changes: Theory and application (Vol. 104). Englewood Cliffs: Prentice Hall.

5. Breunig, M. M., Kriegel, H. P., Ng, R. T., & Sander, J. (2000). Lof: Identifying density-based local outliers. ACM Sigmod Record, ACM, 29, 93–104.

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