Anomaly Detection in MapReduce Using Transformation Provenance

Author:

Chacko Anu Mary,Medicherla Jayendra Sreekar,Madhu Kumar S. D.

Publisher

Springer Singapore

Reference10 articles.

1. Glavic, B., Dittrich, K.: Data provenance: a categorization of existing approaches. In: Proceedings of the 12th GI Conference on Datenbanksysteme in Business, Technologie und Web (2007)

2. Ikeda, R., Widom, J.: Panda: a system for provenance and data. IEEE Data Eng. Bull. Spec. Issue Data Provenance 33(3), 42–49 (2010)

3. Rama, S., Liu, J.: Understanding the semantics of data provenance to support active conceptual modeling. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4512, pp. 17–29. LNCS (2008)

4. Simmhan, Y.L., Pale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Rec. 34(3), 31–36 (2005). https://doi.org/10.1145/1084805.1084812

5. Ikeda, R., Widom, J.: Ramp: a system for capturing and tracing provenance in map reduce workflows. In: International Conference on Very Large Databases (August 2011)

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