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BRAID: Stream Mining through Group Lag Correlations
Summary: BRAID incrementally detects lag correlations and anti-correlations across numeric streams, outputting pairwise lags. Nyquist-based analysis yields small error (largest ~1%), with incremental computation and up to 40k× speedup.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 3669
- Venue
- SIGMOD
- Year
- 2005
- Pagerank
- 7.0137199e-05
- Overall Rank
- 3,519 | 75.53%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,346 |
Streaming Pattern Discovery in Multiple Time-Series |
2005 |
VLDB |
0.00012466288 |
| 1,516 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00011586255 |
| 1,786 |
Fast Approximate Correlation for Massive Time-series Data |
2010 |
SIGMOD |
0.00010558719 |
| 4,065 |
AutoPlait: Automatic Mining of Co-evolving Time Sequences |
2014 |
SIGMOD |
6.4819215e-05 |
| 4,824 |
Managing Massive Time Series Streams with Multi-Scale Compressed Trickles |
2009 |
VLDB |
5.8947137e-05 |
| 4,853 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
5.8760276e-05 |
| 6,579 |
Efficient Sentiment Correlation for Large-scale Demographics |
2013 |
SIGMOD |
5.0034092e-05 |
| 6,671 |
Discovering Longest-lasting Correlation in Sequence Databases |
2013 |
VLDB |
4.9669225e-05 |
| 9,435 |
AMNES: Accelerating the computation of data correlation using FPGAs |
2023 |
VLDB |
4.3430376e-05 |
| 9,920 |
Mining and Forecasting of Big Time-series Data |
2015 |
SIGMOD |
4.2561557e-05 |
| 10,323 |
Scalable Grid-based Computation of Kendall’s tau Correlation |
2026 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
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