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Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Increasingly it is data, vast amounts of data, that drives scientific discovery. At the heart of this so-called "fourth paradigm of science" is the rapid development of large scale statistical data fusion and machine learning methods. While these developments in "big data" methods are largely driven by commercial applications such as internet search or
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Increasingly it is data, vast amounts of data, that drives scientific discovery. At the heart of this so-called "fourth paradigm of science" is the rapid development of large scale statistical data fusion and machine learning methods. While these developments in "big data" methods are largely driven by commercial applications such as internet search or
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Data Linkage Discovery Applications
2018This chapter discusses the topic of linkage discovery for data and their applications. This chapter enhances a previous study by the authors and includes additional references that pertain to applications of linkage discovery not requiring a glossary framework.
Richard S. Segall, Shen Lu
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Transportation Data Discovery Environment
2017The Data-Supported Transportation Operations & Planning Center (D-STOP), a Tier 1 University Transportation Center housed at The University of Texas at Austin, is working to transform how “Big Data” is used in transportation decision-making. While much of the recent research in this area has been on providing improved information to travelers, a focus ...
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Aurum: A Data Discovery System
IEEE International Conference on Data Engineering, 2018R. Fernandez +5 more
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Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022
Maria Helena Franciscatto +3 more
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Maria Helena Franciscatto +3 more
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Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery
IEEE International Conference on Data Engineering, 2018R. Fernandez +8 more
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