I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making
Summary: Introduces sampling-based incremental visualization algorithms that expose salient trends quickly while suppressing misleading fluctuations, with optimal sample complexity and 46× speedups. IncVisage applies them to trendlines and heatmaps, improving rapid decision-making over vanilla online sampling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sajjadur Rahman (University of Illinois Urbana-Champaign)
- 2. Maryam Aliakbarpour (Massachusetts Institute of Technology)
- 3. Ha Kyung Kong (University of Illinois Urbana-Champaign)
- 4. Eric Blais (University of Waterloo)
- 5. Karrie Karahalios (Adobe; University of Illinois Urbana-Champaign)
- 6. Aditya Parameswaran (University of Illinois Urbana-Champaign)
- 7. Ronitt Rubinfield (Massachusetts Institute of Technology; Tel Aviv University)
BibTeX Citation
@article{rahman_vldb17,
title = {{I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making}},
author = {Rahman, Sajjadur and Aliakbarpour, Maryam and Kong, Ha Kyung and Blais, Eric and Karahalios, Karrie and Parameswaran, Aditya and Rubinfield, Ronitt},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1262--1275},
doi = {10.14778/3137628.3137642},
url = {https://doi.org/10.14778/3137628.3137642},
year = {2017}
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