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Effective Variation Management for Pseudo Periodical Streams

Summary: Proposes Pattern Growth Graph (PGG) for online variation management in pseudo-periodic streams, using wave-patterns to capture evolution and enable one-pass detection. Stores only differing segments for compression with reconstructable accuracy and noise discrimination, validated on large real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3856
Venue
SIGMOD
Year
2007
Pagerank
5.0243433e-05
Overall Rank
6,535 | 54.54%
DOI
-

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Rank Citing Paper Year Venue Pagerank
2,680 Finding Semantics in Time Series 2011 SIGMOD 8.3234371e-05
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