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  1. ; ; ; (, Human in the Loop Data Analytics)
    Abouzied, Azza; Amer-Yahia, Sihem; Ives, Zachary (Ed.)
    Data scientists frequently transform data from one form to another while cleaning, integrating, and enriching datasets.Writing such transformations, or “mapping functions" is time-consuming and often involves significant code re-use. Unfortunately, when every dataset is slightly different from the last, finding the right mapping functions to re-use can be equally difficult. In this paper, we propose “Link Once and Keep It" (Loki), a system which consists of a repository of datasets and mapping functions and relates new datasets to datasets it already knows about, helping a data scientist to quickly locate and re-use mapping functions she developed for other datasets in the past. Loki represents a first step towards building and re-using repositories of domain-specific data integration pipelines. 
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