We propose a data-driven approach that leverages value co-occurrence information across a large number of dataset columns to derive robust context signatures ...
Mar 1, 2020 · In this paper, we address the problem of domain discovery: given a collection of tables, we aim to identify sets of terms that represent ...
D4 implements a data-driven domain discovery approach for collections of related tabular (structured) datasets. Given collection of datasets, D4 outputs a ...
We propose a data-driven approach that leverages value co-occurrence information across a large number of dataset columns to derive robust context signatures ...
In this paper, we address the problem of domain discovery: given a collection of tables, we aim to identify sets of terms that represent instances of a semantic ...
In this paper, we address the problem of domain discovery : given a collection of tables, we aim to identify sets of terms that represent instances of a ...
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Jul 1, 2024 · We address this using a pragmatic formalization of data-driven discovery, namely the search for a relationship that may hold between variables ...
May 16, 2024 · We identify two main challenges in automating data-driven discovery: (1) hypothesis search — effectively using data and existing knowledge to ...
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Abstract: In the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate ...
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