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Data Tweening: Incremental Visualization of Data Transforms

Summary: Introduces data tweening: query-aware interpolation between result sets that visualizes incremental stages of interactive data transformations. User studies show it improves comprehension of both result changes and underlying query operations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h8dddfece95580029
Venue
VLDB
Year
2017
Pagerank
5.7264653e-05
Overall Rank
6,634 | 55.40%
DOI
10.14778/3055330.3055333

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{khan_vldb17,
        title = {{Data Tweening: Incremental Visualization of Data Transforms}},
        author = {Khan, Meraj and Xu, Larry and Nandi, Arnab and Hellerstein, Joseph M.},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {6},
        pages = {661--672},
        doi = {10.14778/3055330.3055333},
        url = {https://doi.org/10.14778/3055330.3055333},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,605 dbTouch: Analytics at your Fingertips 2013 CIDR 8.229938e-05
3,003 Gestural Query Specification 2014 VLDB 7.7645915e-05
5,829 FluxQuery: An Execution Framework for Highly Interactive Query Workloads 2016 SIGMOD 5.9783397e-05
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