A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data
Summary: Chandi shares execution across density-based cluster queries with differing pattern and window parameters, exploiting a characterized growth property to compactly encode and jointly maintain cluster sets. It scales to thousands of queries, averaging 4× speedup and 85% lower memory than independent processing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Di Yang (Worcester Polytechnic Institute)
- 2. Elke A. Rundensteiner (Worcester Polytechnic Institute)
- 3. Matthew O. Ward (Worcester Polytechnic Institute)
BibTeX Citation
@article{yang_vldb09,
title = {{A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data}},
author = {Yang, Di and Rundensteiner, Elke A. and Ward, Matthew O.},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687726},
url = {https://doi.org/10.14778/1687627.1687726},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,584 | On Complexity and Optimization of Expensive Queries in Complex Event Processing | 2014 | SIGMOD | 0.00010163707 |
| 8,869 | Interactive Visual Exploration of Neighbor-Based Patterns in Data Streams | 2010 | SIGMOD | 5.2602516e-05 |
| 9,041 | Summarization and Matching of Density-Based Clusters in Streaming Environments | 2012 | VLDB | 5.2321972e-05 |
| 12,566 | Mining and Linking Patterns across Live Data Streams and Stream Archives | 2013 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 32 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00049737458 |
| 928 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00013025824 |
| 1,286 | Resource Sharing in Continuous Sliding-Window Aggregates | 2004 | VLDB | 0.0001119284 |
| 1,383 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD | 0.00010847646 |
| 1,394 | Efficient Computation of the Skyline Cube | 2005 | VLDB | 0.00010796403 |
| 1,945 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | VLDB | 9.3257256e-05 |
| 2,260 | Maintaining Variance and k–Medians over Data Stream Windows | 2003 | PODS | 8.7353589e-05 |
| 2,782 | Scheduling for shared window joins over data streams | 2003 | VLDB | 8.0252514e-05 |
| 4,056 | The Case for Precision Sharing | 2004 | VLDB | 6.8261065e-05 |
| 6,655 | State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries | 2006 | VLDB | 5.7192403e-05 |
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|---|---|---|---|---|
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| 2 | 6,904 | Sharing-Aware Outlier Analytics over High-Volume Data Streams | 2016 | SIGMOD |
| 3 | 928 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB |
| 4 | 3,410 | Scalable Pattern Sharing on Event Streams | 2016 | SIGMOD |
| 5 | 4,400 | Shared Arrangements: practical inter-query sharing for streaming dataflows | 2020 | VLDB |
| 6 | 5,222 | To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams | 2021 | SIGMOD |
| 7 | 5,440 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB |
| 8 | 580 | Efficient Pattern Matching over Event Streams | 2008 | SIGMOD |
| 9 | 1,383 | On-the-Fly Sharing for Streamed Aggregation | 2006 | SIGMOD |
| 10 | 9,041 | Summarization and Matching of Density-Based Clusters in Streaming Environments | 2012 | VLDB |