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)
Incoming Non-self Citations Over Time
Authors
- 1. Yasushi Sakurai (Nippon Telegraph and Telephone Corporation)
- 2. Spiros Papadimitriou (Carnegie Mellon University)
- 3. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@inproceedings{sakurai_sigmod05,
title = {{BRAID: Stream Mining through Group Lag Correlations}},
author = {Sakurai, Yasushi and Papadimitriou, Spiros and Faloutsos, Christos},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066226},
url = {https://dl.acm.org/doi/10.1145/1066157.1066226},
year = {2005}
}
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