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GRAIL: Efficient Time-Series Representation Learning
Summary: GRAIL introduces a unified time-series representation preserving a user-specified similarity. It expresses each series as a linear combination of landmark series, via clustering and kernel-approximation, enabling linear-time analytics for querying, classification, and clustering.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11864
- Venue
- VLDB
- Year
- 2019
- Pagerank
- 6.4792249e-05
- Overall Rank
- 4,062 | 71.78%
- DOI
-
10.14778/3342263.3342648
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,032 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7320795e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 3,946 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6036232e-05 |
| 4,082 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4601453e-05 |
| 4,854 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
5.8707943e-05 |
| 6,311 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.1112212e-05 |
| 8,643 |
Accelerating Product Quantization Query Execution Runtime |
2021 |
SIGMOD |
4.4730679e-05 |
| 8,991 |
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications |
2023 |
VLDB |
4.4113784e-05 |
| 9,299 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
4.356626e-05 |
| 9,334 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
4.351469e-05 |
| 9,336 |
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification |
2022 |
SIGMOD |
4.351469e-05 |
| 9,599 |
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation |
2025 |
SIGMOD |
4.3136057e-05 |
| 10,343 |
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance |
2026 |
VLDB |
4.1905499e-05 |
| 10,476 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,533 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,725 |
BURST: Rendering Clustering Techniques Suitable for Evolving Streams |
2025 |
VLDB |
4.1905499e-05 |
| 10,745 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 10,748 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
2025 |
VLDB |
4.1905499e-05 |
| 10,955 |
RITA: Group Attention is All You Need for Timeseries Analytics |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,097 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1905499e-05 |
| 11,237 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.1905499e-05 |
| 13,274 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 65 |
Fast Subsequence Matching in Time-Series Databases |
1994 |
SIGMOD |
0.00061977022 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 243 |
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases |
2001 |
SIGMOD |
0.00031052437 |
| 251 |
Robust and Fast Similarity Search for Moving Object Trajectories |
2005 |
SIGMOD |
0.00030589775 |
| 358 |
On The Marriage of Lp-norms and Edit Distance |
2004 |
VLDB |
0.00026059337 |
| 537 |
Fast Time Sequence Indexing for Arbitrary L_p Norms |
2000 |
VLDB |
0.00020650291 |
| 689 |
Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences |
1997 |
SIGMOD |
0.00018069077 |
| 821 |
Dimensionality Reduction for Similarity Searching in Dynamic Databases |
1998 |
SIGMOD |
0.00016232579 |
| 1,164 |
Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures |
2008 |
VLDB |
0.00013572951 |
| 1,373 |
Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials |
2004 |
SIGMOD |
0.00012326961 |
| 1,510 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00011588558 |
| 3,522 |
FTW: Fast Similarity Search under the Time Warping Distance |
2005 |
PODS |
7.0086323e-05 |
| 3,728 |
Indexing Large Human-Motion Databases |
2004 |
VLDB |
6.8082657e-05 |
| 4,751 |
Indexing for Interactive Exploration of Big Data Series |
2014 |
SIGMOD |
5.9411478e-05 |
| 4,792 |
YADING: Fast Clustering of Large-Scale Time Series Data |
2015 |
VLDB |
5.9132429e-05 |
| 9,010 |
DataGarage: Warehousing Massive Performance Data on Commodity Servers |
2010 |
VLDB |
4.405974e-05 |
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