BURST: Rendering Clustering Techniques Suitable for Evolving Streams

Summary: BURST adapts partition-based clustering to evolving time-series streams by integrating streaming support with AutoKC, an online estimator that infers k. Enables robust, real-time clustering across partitioners with SOTA accuracy on evolving streams. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 14024
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,718 | 25.44%
DOI: 10.14778/3749646.3749675

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,739	Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods	2025	VLDB	4.1945683e-05
10,741	Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
33	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00077324389
662	A Framework for Clustering Evolving Data Streams	2003	VLDB	0.00018475968
1,516	k-Shape: Efficient and Accurate Clustering of Time Series	2015	SIGMOD	0.00011586255
2,029	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	9.740868e-05
2,381	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	8.9327638e-05
3,943	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	6.6099833e-05
4,059	GRAIL: Efficient Time-Series Representation Learning	2019	VLDB	6.4854417e-05
4,079	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series	2023	VLDB	6.4663636e-05
4,762	METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection	2024	VLDB	5.9395463e-05
4,853	Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures	2020	SIGMOD	5.8760276e-05
7,488	Data Stream Clustering: An In-depth Empirical Study	2023	SIGMOD	4.7180617e-05
9,329	Odyssey: An Engine Enabling The Time-Series Clustering Journey	2023	VLDB	4.3556432e-05
9,599	SPARTAN: Data-Adaptive Symbolic Time-Series Approximation	2025	SIGMOD	4.3177432e-05
10,466	A Structured Study of Multivariate Time-Series Distance Measures	2025	SIGMOD	4.1945683e-05
10,738	TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.1945683e-05
10,739	Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods	2025	VLDB	4.1945683e-05
11,094	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	4.1945683e-05
11,235	Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances	2023	VLDB	4.1945683e-05
13,261	SAND in Action: Subsequence Anomaly Detection for Streams	2021	VLDB	-

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
33	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00077324389
8,286	OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting	2023	VLDB	4.5435639e-05
9,068	A Framework for Projected Clustering of High Dimensional Data Streams	2004	VLDB	4.4034035e-05
12,037	STEM: A Spatio-TEmporal Miner for Bursty Activity	2013	SIGMOD	4.1945683e-05
2,116	On the Spatiotemporal Burstiness of Terms	2012	VLDB	9.5180761e-05
5,324	Clustering Stream Data by Exploring the Evolution of Density Mountain	2018	VLDB	5.5691645e-05
7,488	Data Stream Clustering: An In-depth Empirical Study	2023	SIGMOD	4.7180617e-05
4,391	Parameter Free Bursty Events Detection in Text Streams	2005	VLDB	6.2271327e-05
662	A Framework for Clustering Evolving Data Streams	2003	VLDB	0.00018475968
3,751	BurstSketch: Finding Bursts in Data Streams	2021	SIGMOD	6.7888099e-05