Clustering Stream Data by Exploring the Evolution of Density Mountain
Summary: EDMStream models streaming distributions as evolving density mountains, tracking cluster births, deaths, splits, and merges. Specialized data structures and filtering enable real-time updates, delivering 7–15× faster response than prior methods with comparable cluster quality. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shufeng Gong (Northeastern University)
- 2. Yanfeng Zhang (Northeastern University)
- 3. Ge Yu (Liaoning University; Northeastern University)
BibTeX Citation
@article{gong_vldb18,
title = {{Clustering Stream Data by Exploring the Evolution of Density Mountain}},
author = {Gong, Shufeng and Zhang, Yanfeng and Yu, Ge},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {4},
pages = {393--405},
doi = {10.1145/3164135.3164136},
url = {https://doi.org/10.1145/3164135.3164136},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,607 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 8.3489531e-05 |
| 5,483 | DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows | 2022 | SIGMOD | 6.2019677e-05 |
| 7,912 | Data Stream Clustering: An In-depth Empirical Study | 2023 | SIGMOD | 5.5181056e-05 |
| 11,664 | Fast Density-Peaks Clustering: Multicore-based Parallelization Approach | 2021 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 907 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00013309819 |
| 962 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012936472 |
| 3,020 | Dynamic Density Based Clustering | 2017 | SIGMOD | 7.8445412e-05 |
| 3,031 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB | 7.8324917e-05 |
| 5,325 | Rare Time Series Motif Discovery from Unbounded Streams | 2015 | VLDB | 6.2641987e-05 |
| 5,946 | Streaming Anomaly Detection Using Randomized Matrix Sketching | 2016 | VLDB | 6.0324341e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 564 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB |
| 2 | 12,034 | Streaming Algorithms for Robust Distinct Elements | 2016 | SIGMOD |
| 3 | 4,366 | Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially | 2019 | VLDB |
| 4 | 11,664 | Fast Density-Peaks Clustering: Multicore-based Parallelization Approach | 2021 | SIGMOD |
| 5 | 6,750 | A Framework for Diagnosing Changes in Evolving Data Streams | 2003 | SIGMOD |
| 6 | 8,070 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD |
| 7 | 8,881 | Summarization and Matching of Density-Based Clusters in Streaming Environments | 2012 | VLDB |
| 8 | 9,272 | A Framework for Projected Clustering of High Dimensional Data Streams | 2004 | VLDB |
| 9 | 7,912 | Data Stream Clustering: An In-depth Empirical Study | 2023 | SIGMOD |
| 10 | 907 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB |