Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Distributed and parallel time series feature extraction for industrial
  big data applications   The all-relevant problem of feature selection is the identification of all
strongly and weakly relevant attributes. This problem is especially hard to
solve for time series classification and regression in industrial applications
such as predictive maintenance or production line optimization, for which each
label or regression target is associated with several time series and
meta-information simultaneously. Here, we are proposing an efficient, scalable
feature extraction algorithm for time series, which filters the available
features in an early stage of the machine learning pipeline with respect to
their significance for the classification or regression task, while controlling
the expected percentage of selected but irrelevant features. The proposed
algorithm combines established feature extraction methods with a feature
importance filter. It has a low computational complexity, allows to start on a
problem with only limited domain knowledge available, can be trivially
parallelized, is highly scalable and based on well studied non-parametric
hypothesis tests. We benchmark our proposed algorithm on all binary
classification problems of the UCR time series classification archive as well
as time series from a production line optimization project and simulated
stochastic processes with underlying qualitative change of dynamics.

18
The categories of this paper are: econ
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga