Mining and Linking Patterns across Live Data Streams and Stream Archives
Summary: Vistream^T combines real-time complex-pattern mining with interactive visualization across live streams and archives. It supports multiresolution neighbor-pattern compression, selective archival, archive-based prevalence validation, and temporal pattern-evolution linking. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Di Yang (Worcester Polytechnic Institute)
- 2. Kaiyu Zhao (Worcester Polytechnic Institute)
- 3. Maryam Hasan (Worcester Polytechnic Institute)
- 4. Hanyuan Lu (Worcester Polytechnic Institute)
- 5. Elke Rundensteiner (Worcester Polytechnic Institute)
- 6. Matthew Ward (Worcester Polytechnic Institute)
BibTeX Citation
@article{yang_vldb13,
title = {{Mining and Linking Patterns across Live Data Streams and Stream Archives}},
author = {Yang, Di and Zhao, Kaiyu and Hasan, Maryam and Lu, Hanyuan and Rundensteiner, Elke and Ward, Matthew},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
doi = {10.14778/2536274.2536312},
url = {https://doi.org/10.14778/2536274.2536312},
year = {2013}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 907 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00013309819 |
| 7,695 | A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data | 2009 | VLDB | 5.5661355e-05 |
| 8,704 | Interactive Visual Exploration of Neighbor-Based Patterns in Data Streams | 2010 | SIGMOD | 5.3809865e-05 |
| 8,881 | Summarization and Matching of Density-Based Clusters in Streaming Environments | 2012 | VLDB | 5.3520513e-05 |
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