Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Big Data Analytics for Manufacturing Internet of Things: Opportunities,
  Challenges and Enabling Technologies   The recent advances in information and communication technology (ICT) have
promoted the evolution of conventional computer-aided manufacturing industry to
smart data-driven manufacturing. Data analytics in massive manufacturing data
can extract huge business values while can also result in research challenges
due to the heterogeneous data types, enormous volume and real-time velocity of
manufacturing data. This paper provides an overview on big data analytics in
manufacturing Internet of Things (MIoT). This paper first starts with a
discussion on necessities and challenges of big data analytics in manufacturing
data of MIoT. Then, the enabling technologies of big data analytics of
manufacturing data are surveyed and discussed. Moreover, this paper also
outlines the future directions in this promising area.

20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int