Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Short Introduction to Information-Theoretic Cost-Benefit Analysis   This arXiv report provides a short introduction to the information-theoretic
measure proposed by Chen and Golan in 2016 for analyzing machine- and
human-centric processes in data intelligence workflows. This introduction was
compiled based on several appendices written to accompany a few research papers
on topics of data visualization and visual analytics. Although the original
2016 paper and the follow-on papers were mostly published in the field of
visualization and visual analytics, the cost-benefit measure can help explain
the informative trade-off in a wide range of data intelligence phenomena
including machine learning, human cognition, language development, and so on.
Meanwhile, there is an ongoing effort to improve its mathematical properties in
order to make it more intuitive and usable in practical applications as a
measurement tool.

31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph