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 (Seoul National University)
- 2. Kyoseung Koo (Seoul National University)
- 3. Undraa Enkhbat (Seoul National University)
- 4. Bongki Moon (Seoul National University)
BibTeX Citation
@inproceedings{kim_sigmod22,
title = {{DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows}},
author = {Kim, Bogyeong and Koo, Kyoseung and Enkhbat, Undraa and Moon, Bongki},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517833},
url = {https://dl.acm.org/doi/10.1145/3514221.3517833},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,902 | Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs | 2024 | VLDB | 6.9179865e-05 |
| 9,184 | Truss-based Community Search over Streaming Directed Graphs | 2024 | VLDB | 5.1982941e-05 |
| 10,556 | Maintaining Biconnected Components in Streaming Graphs | 2026 | SIGMOD | 4.9605343e-05 |
| 11,763 | Prerequisite-driven Fair Clustering on Heterogeneous Information Networks | 2023 | SIGMOD | 4.9605343e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0019892478 |
| 992 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012621584 |
| 1,948 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | VLDB | 9.30382e-05 |
| 2,623 | NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data | 2017 | VLDB | 8.196568e-05 |
| 3,070 | Dynamic Density Based Clustering | 2017 | SIGMOD | 7.6675081e-05 |
| 3,314 | RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning | 2018 | SIGMOD | 7.4156999e-05 |
| 5,438 | Theoretically-Efficient and Practical Parallel DBSCAN | 2020 | SIGMOD | 6.1152153e-05 |
| 5,461 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB | 6.1045744e-05 |
| 6,316 | Densely Connected User Community and Location Cluster Search in Location-Based Social Networks | 2020 | SIGMOD | 5.7968726e-05 |
| 9,069 | Summarization and Matching of Density-Based Clusters in Streaming Environments | 2012 | VLDB | 5.2124276e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,579 | Scalable Kernel Density Classification via Threshold-Based Pruning | 2017 | SIGMOD |
| 2 | 5,438 | Theoretically-Efficient and Practical Parallel DBSCAN | 2020 | SIGMOD |
| 3 | 2,623 | NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data | 2017 | VLDB |
| 4 | 5,461 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB |
| 5 | 12,032 | Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering* | 2021 | SIGMOD |
| 6 | 10,489 | Approximate DBSCAN via Density-Biased Sampling and Kernel Density Estimation | 2026 | SIGMOD |
| 7 | 3,070 | Dynamic Density Based Clustering | 2017 | SIGMOD |
| 8 | 11,754 | Fast Density-Based Clustering: Geometric Approach | 2023 | SIGMOD |
| 9 | 8,263 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD |
| 10 | 1,948 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | VLDB |