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Showing 1 to 2 of 2 for “"Inklusionsabhängigkeit"”.

  1. Dependency discovery for data integration

    Data integration aims to combine data of different sources and to provide users with a unified view on these data. This task is as challenging as valuable. In this thesis we propose algorithms for dependency discovery to provide necessary information for data integration. We focus on inclusion …

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  2. Data profiling - efficient discovery of dependencies

    Data profiling is the computer science discipline of analyzing a given dataset for its metadata. The types of metadata range from basic statistics, such as tuple counts, column aggregations, and value distributions, to much more complex structures, in particular inclusion dependencies (INDs), …

    potsdam-diss Repository record for Data profiling - efficient discovery of dependencies (opens in a new tab)