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Parameter Free Bursty Events Detection in Text Streams

Summary: Defines hot bursty-event detection as discovering bursty feature sets in chronological text streams, rather than clustering documents as in TDT. Feature-pivot clustering exploits temporal feature distributions in a parameter-free probabilistic method, requiring neither labels nor parameter tuning. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9491
Venue
VLDB
Year
2005
Pagerank
6.227694e-05
Overall Rank
5,410 | 62.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fung_vldb05,
        title = {{Parameter Free Bursty Events Detection in Text Streams}},
        author = {Fung, Gabriel Pui Cheong and Yu, Jeffrey Xu and Yu, Philip S. and Lu, Hongjun},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {181--192},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,852 On the Spatiotemporal Burstiness of Terms 2012 VLDB 7.0734721e-05
7,834 Identifying, Attributing and Describing Spatial Bursts 2010 VLDB 5.535728e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

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