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Clustering Stream Data by Exploring the Evolution of Density Mountain

Summary: EDMStream clusters streaming data by modeling distributions as Density Mountains and tracking their evolution. Efficient structures and filtering enable real-time density-mountain updates, delivering 7–15× faster cluster updates than DStream/DenStream/DBSTREAM/MR-Stream with comparable quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11751
Venue
VLDB
Year
2018
Pagerank
5.5691645e-05
Overall Rank
5,324 | 62.97%
DOI
10.1145/3164135.3164136

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