A Framework for Projected Clustering of High Dimensional Data Streams
Summary: Proposes HPStream, a high-dimensional, projected clustering framework for data streams. It uses fading cluster structures and projection-based clustering to enable incremental, one-pass, scalable analysis across many dimensions, delivering improved clustering quality over prior stream methods, validated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Charu C. Aggarwal
- 2. Jiawei Han
- 3. Jianyong Wang
- 4. Philip S. Yu
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,347 | On Biased Reservoir Sampling in the Presence of Stream Evolution | 2006 | VLDB | 6.2588401e-05 |
| 6,532 | Effective Variation Management for Pseudo Periodical Streams | 2007 | SIGMOD | 5.0195121e-05 |
| 7,237 | Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S | 2007 | VLDB | 4.7877172e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080846213 |
| 33 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00077399244 |
| 43 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00072660894 |
| 263 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029955858 |
| 277 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00029356968 |
| 340 | CURE: An Efficient Clustering Algorithm for Large Databases | 1998 | SIGMOD | 0.00026854084 |
| 663 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018466049 |
| 1,596 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011210688 |
| 6,722 | A Framework for Diagnosing Changes in Evolving Data Streams | 2003 | SIGMOD | 4.9455949e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,841 | Streaming Algorithms for Robust Distinct Elements | 2016 | SIGMOD | 4.1905499e-05 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.7935134e-05 |
| 7,479 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD | 4.7135369e-05 |
| 7,488 | Data Stream Clustering: An In-depth Empirical Study | 2023 | SIGMOD | 4.7135369e-05 |
| 8,473 | Evaluating Clustering in Subspace Projections of High Dimensional Data | 2009 | VLDB | 4.4985288e-05 |
| 10,208 | Scalable Clustering Over High Dimensional Vector Streams | 2026 | SIGMOD | 4.1905499e-05 |
| 1,596 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011210688 |
| 2,023 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7586371e-05 |
| 5,315 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB | 5.5702177e-05 |
| 663 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018466049 |