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M4: A Visualization-Oriented Time Series Data Aggregation
Summary: M4: aggregation-based time-series reduction preserving line rasterization for error-free visualizations. Visualization-driven query-rewrite layer on RDBMS achieves up to 100x data reduction in manufacturing, finance, and sports, preserving fidelity.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10957
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 0.00010481427
- Overall Rank
- 1,804 | 87.47%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,286 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.102574e-05 |
| 3,288 |
Monarch: Google’s Planet-Scale In-Memory Time Series Database |
2020 |
VLDB |
7.2680967e-05 |
| 3,841 |
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making |
2017 |
VLDB |
6.7090738e-05 |
| 4,418 |
ASAP: Prioritizing Attention via Time Series Smoothing |
2017 |
VLDB |
6.1952934e-05 |
| 4,453 |
CLAMShell: Speeding up Crowds for Low-latency Data Labeling |
2016 |
VLDB |
6.1690121e-05 |
| 4,679 |
Adaptive Sampling for Rapidly Matching Histograms |
2018 |
VLDB |
5.9978792e-05 |
| 5,526 |
GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons |
2018 |
VLDB |
5.4585713e-05 |
| 6,011 |
Data Vocalization with CiceroDB |
2019 |
CIDR |
5.2365238e-05 |
| 6,072 |
OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series |
2023 |
SIGMOD |
5.2230588e-05 |
| 6,133 |
Optimal and General Out-of-Order Sliding-Window Aggregation |
2019 |
VLDB |
5.1917864e-05 |
| 6,296 |
Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees |
2024 |
VLDB |
5.1199987e-05 |
| 6,302 |
Hillview: A trillion-cell spreadsheet for big data |
2019 |
VLDB |
5.1166201e-05 |
| 6,623 |
Fast-Forwarding to Desired Visualizations with zenvisage |
2017 |
CIDR |
4.984297e-05 |
| 6,840 |
Towards Democratizing Relational Data Visualization |
2019 |
SIGMOD |
4.9058387e-05 |
| 7,312 |
Efficient Evaluation of Object-Centric Exploration Queries for Visualization |
2015 |
VLDB |
4.7602303e-05 |
| 8,426 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
4.5098472e-05 |
| 9,619 |
Faster Visual Analytics through Pixel-Perfect Aggregation |
2014 |
VLDB |
4.3129474e-05 |
| 10,127 |
Visualization-Oriented Progressive Time Series Transformation |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,392 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,616 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.1905499e-05 |
| 11,651 |
A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP |
2019 |
SIGMOD |
4.1905499e-05 |
| 11,696 |
Enabling Data Science for the Majority |
2019 |
VLDB |
4.1905499e-05 |
| 11,733 |
Vocalizing Large Time Series Efficiently |
2018 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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