Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The data, they are a-changin'   The cost of deriving actionable knowledge from large datasets has been
decreasing thanks to a convergence of positive factors: low cost data
generation, inexpensively scalable storage and processing infrastructure
(cloud), software frameworks and tools for massively distributed data
processing, and parallelisable data analytics algorithms. One observation that
is often overlooked, however, is that each of these elements is not immutable,
rather they all evolve over time. This suggests that the value of such
derivative knowledge may decay over time, unless it is preserved by reacting to
those changes. Our broad research goal is to develop models, methods, and tools
for selectively reacting to changes by balancing costs and benefits, i.e.
through complete or partial re-computation of some of the underlying processes.
In this paper we present an initial model for reasoning about change and
re-computations, and show how analysis of detailed provenance of derived
knowledge informs re-computation decisions. We illustrate the main ideas
through a real-world case study in genomics, namely on the interpretation of
human variants in support of genetic diagnosis.

33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
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
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio