Abstract
Database integration is the problem of combining information spread over several data sources into one source. The possible presence of duplicate and/or inconsistent information makes this problem extremely challenging. In an earlier contribution on this topic, a framework of merge functions has been defined and applied in the case of (multi)sets. As a result, f-optimal merge functions have been defined as a family of merge functions for multisets that maximize an adapted version of the well-known f-value. Although some properties of this family have been identified in previous work, the ongoing study of additional properties is important to gain insight in both the problem of multiset merging and the characteristics of the f-optimal family. This paper contributes by defining and investigating several notions of robustness.
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Bronselaer, A., Van Britsom, D., De Tré, G. (2012). Robustness of Multiset Merge Functions. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_49
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DOI: https://doi.org/10.1007/978-3-642-31709-5_49
Publisher Name: Springer, Berlin, Heidelberg
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