Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Model-Driven Analytics: Connecting Data, Domain Knowledge, and Learning   Gaining profound insights from collected data of today's application domains
like IoT, cyber-physical systems, health care, or the financial sector is
business-critical and can create the next multi-billion dollar market. However,
analyzing these data and turning it into valuable insights is a huge challenge.
This is often not alone due to the large volume of data but due to an
incredibly high domain complexity, which makes it necessary to combine various
extrapolation and prediction methods to understand the collected data.
Model-driven analytics is a refinement process of raw data driven by a model
reflecting deep domain understanding, connecting data, domain knowledge, and
learning.

4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom