Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gain-loss ratio of storing intermediate data from workflows   Sequentially, the systematic processing of a significant amount of data can
be necessary for input datasets to get desired outputs. In a workflow
management system(WMS), usually, users build workflows by manually selecting
and interconnecting various modules concerning some particular tasks. Thus, a
system of automatically suggesting the appropriate intermediate datasets for
modules and a suggestion for the decision of saving intermediate states will be
helpful in a pipeline building process. This work investigates a technique for
both automatically suggesting the intermediate datasets to use and store
through mining and analyzing association rules from the previously developed
workflows. Investigation on workflows shows that the association rule mining
technique can help us to suggest subsequent modules for retrieving and storing
data and explain them with gain-loss ratios.

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The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
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The categories of this paper are: q-fin
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The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat