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Raising the ClaSS of Streaming Time Series Segmentation

Summary: ClaSS: a streaming time-series segmentation method that evaluates partition homogeneity using self-supervised time-series classification and statistical tests to detect significant change points. Complexity independent of segment sizes (linear in window), beats 8 baselines, available as a Flink window operator (~1k pts/s). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13430
Venue
VLDB
Year
2024
Pagerank
4.9241565e-05
Overall Rank
6,797 | 52.72%
DOI
10.14778/3659437.3659450

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,991 Discovering Leitmotifs in Multidimensional Time Series 2025 VLDB 5.2415551e-05
9,147 ISSD: Indicator Selection for Time Series State Detection 2025 SIGMOD 4.3849295e-05
10,309 CLaP - State Detection from Time Series 2026 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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