Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SightBi: Exploring Cross-View Data Relationships with Biclusters   Multiple-view visualization (MV) has been heavily used in visual analysis
tools for sensemaking of data in various domains (e.g., bioinformatics,
cybersecurity and text analytics). One common task of visual analysis with
multiple views is to relate data across different views. For example, to
identify threats, an intelligence analyst needs to link people from a social
network graph with locations on a crime-map, and then search for and read
relevant documents. Currently, exploring cross-view data relationships heavily
relies on view-coordination techniques (e.g., brushing and linking), which may
require significant user effort on many trial-and-error attempts, such as
repetitiously selecting elements in one view, and then observing and following
elements highlighted in other views. To address this, we present SightBi, a
visual analytics approach for supporting cross-view data relationship
explorations. We discuss the design rationale of SightBi in detail, with
identified user tasks regarding the use of cross-view data relationships.
SightBi formalizes cross-view data relationships as biclusters, computes them
from a dataset, and uses a bi-context design that highlights creating
stand-alone relationship-views. This helps preserve existing views and offers
an overview of cross-view data relationships to guide user exploration.
Moreover, SightBi allows users to interactively manage the layout of multiple
views by using newly created relationship-views. With a usage scenario, we
demonstrate the usefulness of SightBi for sensemaking of cross-view data
relationships.

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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: alg-geom