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ASAP: Prioritizing Attention via Time Series Smoothing
Summary: ASAP: smoothing time series to highlight long-term trends. Novel operator optimizes var–kurt with autocorrelation pruning and pixel-aware preaggregation; on-demand refresh yields 38.4% accuracy gains and 44.3% latency reductions, faster than work.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11422
- Venue
- VLDB
- Year
- 2017
- Pagerank
- 6.1952934e-05
- Overall Rank
- 4,418 | 69.30%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 362 |
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases |
1995 |
VLDB |
0.00025758421 |
| 992 |
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System |
2017 |
VLDB |
0.00014795333 |
| 1,557 |
Resource Sharing in Continuous Sliding-Window Aggregates |
2004 |
VLDB |
0.00011381807 |
| 1,804 |
M4: A Visualization-Oriented Time Series Data Aggregation |
2014 |
VLDB |
0.00010481427 |
| 2,129 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4799835e-05 |
| 2,738 |
The Case for Data Visualization Management Systems [Vision Paper] |
2014 |
VLDB |
8.2039241e-05 |
| 2,924 |
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases |
2004 |
VLDB |
7.8889353e-05 |
| 3,425 |
General Incremental Sliding-Window Aggregation |
2015 |
VLDB |
7.1042928e-05 |
| 4,253 |
Combining Databases and Signal Processing in Plato |
2015 |
CIDR |
6.3103785e-05 |
| 5,263 |
SeeDB: Visualizing Database Queries Efficiently |
2014 |
VLDB |
5.5959099e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 2,429 |
Optimal Multi-scale Patterns in Time Series Streams |
2006 |
SIGMOD |
8.8285306e-05 |
| 8,426 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
4.5098472e-05 |
| 11,764 |
Prioritizing Attention in Fast Data: Principles and Promise |
2017 |
CIDR |
4.1905499e-05 |
| 6,072 |
OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series |
2023 |
SIGMOD |
5.2230588e-05 |
| 1,804 |
M4: A Visualization-Oriented Time Series Data Aggregation |
2014 |
VLDB |
0.00010481427 |
| 2,005 |
Rapid Sampling for Visualizations with Ordering Guarantees |
2015 |
VLDB |
9.8168893e-05 |
| 9,619 |
Faster Visual Analytics through Pixel-Perfect Aggregation |
2014 |
VLDB |
4.3129474e-05 |
| 3,841 |
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making |
2017 |
VLDB |
6.7090738e-05 |
| 10,127 |
Visualization-Oriented Progressive Time Series Transformation |
2026 |
SIGMOD |
4.1905499e-05 |
| 6,296 |
Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees |
2024 |
VLDB |
5.1199987e-05 |