Anomaly-Based Duplicate Detection: A Probabilistic Approach

Author:

Obermeier Andreas

Publisher

Springer International Publishing

Reference36 articles.

1. Fan, W.: Data quality. From theory to practice. ACM SIGMOD Rec. 44(3), 7–18 (2015). https://doi.org/10.1145/2854006.2854008

2. Helmis, S., Hollmann, R.: Webbased Dataintegration. Approaches to Measure and Maintain the Quality of Information in Heterogeneous Databases Using a Fully Web-Based Tool. Springer, Heidelberg (2009)

3. Heinrich, B., Klier, M., Obermeier, A.A., Schiller, A.: Event-driven duplicate detection: a probability-based approach. In: Proceedings of the 26th ECIS (2018)

4. Bleiholder, J., Schmid, J.: Dataintegration and deduplication. In: Daten- und Informationsqualität, pp. 121–140. Springer, Heidelberg (2015)

5. Draisbach, U.: Partitioning for Efficient Duplicate Detection in Relational Data. Springer, Heidelberg (2012)

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