DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows
Summary: DenForest enables fast incremental density-based clustering over sliding windows by representing clusters as spanning trees rather than graphs. It offers logarithmic-time split decisions on deletions and, empirically, outperforms prior incremental methods while matching DBSCAN's clustering quality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bogyeong Kim
- 2. Kyoseung Koo
- 3. Undraa Enkhbat
- 4. Bongki Moon
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,481 | Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs | 2024 | VLDB | 6.1485442e-05 |
| 8,975 | Truss-based Community Search over Streaming Directed Graphs | 2024 | VLDB | 4.4179255e-05 |
| 11,193 | Prerequisite-driven Fair Clustering on Heterogeneous Information Networks | 2023 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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