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Incremental Clustering for Mining in a Data Warehousing Environment

Summary: Proposes IncrementalDBSCAN to maintain DBSCAN clusters under daily warehouse updates. Updates affect only local neighborhoods, yielding identical results to DBSCAN and substantial speedups on spatial and WWW-log databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8690
Venue
VLDB
Year
1998
Pagerank
9.501636e-05
Overall Rank
1,907 | 86.92%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ester_vldb98,
        title = {{Incremental Clustering for Mining in a Data Warehousing Environment}},
        author = {Ester, Martin and Kriegel, Hans-Peter and Sander, Jörg and Wimmer, Michael and Xu, Xiaowei},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {323--333},
        year = {1998}
}

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