Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The UCR Time Series Archive   The UCR Time Series Archive - introduced in 2002, has become an important
resource in the time series data mining community, with at least one thousand
published papers making use of at least one data set from the archive. The
original incarnation of the archive had sixteen data sets but since that time,
it has gone through periodic expansions. The last expansion took place in the
summer of 2015 when the archive grew from 45 to 85 data sets. This paper
introduces and will focus on the new data expansion from 85 to 128 data sets.
Beyond expanding this valuable resource, this paper offers pragmatic advice to
anyone who may wish to evaluate a new algorithm on the archive. Finally, this
paper makes a novel and yet actionable claim: of the hundreds of papers that
show an improvement over the standard baseline (1-nearest neighbor
classification), a large fraction may be mis-attributing the reasons for their
improvement. Moreover, they may have been able to achieve the same improvement
with a much simpler modification, requiring just a single line of code.

14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
9
The categories of this paper are: nlin