Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SCATTERSEARCH: Visual Querying of Scatterplot Visualizations   Scatterplots are one of the simplest and most commonly-used visualizations
for understanding quantitative, multidimensional data. However, since
scatterplots only depict two attributes at a time, analysts often need to
manually generate and inspect large numbers of scatterplots to make sense of
large datasets with many attributes. We present a visual query system for
scatterplots, SCATTERSEARCH, that enables users to visually search and browse
through large collections of scatterplots. Users can query for other
visualizations based on a region of interest or find other scatterplots that
"look similar'' to a selected one. We present two demo scenarios, provide a
system overview of SCATTERSEARCH, and outline future directions.

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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an
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The categories of this paper are: stat
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The categories of this paper are: adap-org
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The categories of this paper are: alg-geom
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: supr-con
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ph
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The categories of this paper are: q-fin
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an