Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing the Interactivity of Dataframe Queries by Leveraging Think
  Time   We propose opportunistic evaluation, a framework for accelerating
interactions with dataframes. Interactive latency is critical for iterative,
human-in-the-loop dataframe workloads for supporting exploratory data analysis.
Opportunistic evaluation significantly reduces interactive latency by 1)
prioritizing computation directly relevant to the interactions and 2)
leveraging think time for asynchronous background computation for non-critical
operators that might be relevant to future interactions. We show, through
empirical analysis, that current user behavior presents ample opportunities for
optimization, and the solutions we propose effectively harness such
opportunities.

36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat