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A Framework for Diagnosing Changes in Evolving Data Streams

Summary: Introduces velocity density estimation to diagnose and visualize evolving trends in fast data streams via temporal and spatial velocity profiles. Provides online single-pass, linear-time analysis and batch screening to predict dissolution, coagulation, and shift, applicable to spatio-temporal data and evolving snapshots. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3464
Venue
SIGMOD
Year
2003
Pagerank
4.9543915e-05
Overall Rank
6,706 | 53.35%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
728 Meaningful Change Detection in Structured Data 1997 SIGMOD 0.00017494982
4,760 Efficient Snapshot Differential Algorithms for Data Warehousing 1996 VLDB 5.9410726e-05
6,544 A Framework for Measuring Changes in Data Characteristics 1999 PODS 5.0202405e-05
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