Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Table Enrichment System for Machine Learning   Data scientists are constantly facing the problem of how to improve
prediction accuracy with insufficient tabular data. We propose a table
enrichment system that enriches a query table by adding external attributes
(columns) from data lakes and improves the accuracy of machine learning
predictive models. Our system has four stages, join row search, task-related
table selection, row and column alignment, and feature selection and
evaluation, to efficiently create an enriched table for a given query table and
a specified machine learning task. We demonstrate our system with a web UI to
show the use cases of table enrichment.

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The categories of this paper are: gr-qc
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The categories of this paper are: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: math
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The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ph
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The categories of this paper are: q-alg
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The categories of this paper are: bayes-an
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys