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Online Event-driven Subsequence Matching over Financial Data Streams

Summary: Online, event-driven approximate subsequence matching over massive financial streams via online segmentation and pruning to a concise piecewise-linear representation. Permutation-based similarity with a metric distance enables flexible indexing and selective, event-driven search; validated on real stock data for trend prediction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3504
Venue
SIGMOD
Year
2004
Pagerank
5.5753015e-05
Overall Rank
5,310 | 63.07%
DOI
-

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