Adaptive, Hands-Off Stream Mining
Summary: AWSOM enables adaptive, hands-off stream modeling for resource-constrained sensors, handling periodic components and bursts in a single pass with logarithmic space. Autonomous, no-user-tuning enables long-range forecasts and 10x resource savings over AR models. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,349 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00012453634 |
| 3,788 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.7624343e-05 |
| 4,110 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.4358092e-05 |
| 4,476 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.1458665e-05 |
| 4,656 | One-Pass Wavelet Synopses for Maximum-Error Metrics | 2005 | VLDB | 6.0101164e-05 |
| 4,892 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 5.8474831e-05 |
| 9,345 | SHIFT-SPLIT: I/O Efficient Maintenance of Wavelet-Transformed Multidimensional Data | 2005 | SIGMOD | 4.351469e-05 |
| 9,884 | Contour Map Matching for Event Detection in Sensor Networks | 2006 | SIGMOD | 4.2585516e-05 |
| 9,919 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 4.2520778e-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 |
|---|---|---|---|---|
| 204 | Monitoring Streams – A New Class of Data Management Applications | 2002 | VLDB | 0.00034696955 |
| 244 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00031037999 |
| 344 | Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries | 2001 | VLDB | 0.00026698826 |
| 617 | On Computing Correlated Aggregates Over Continual Data Streams | 2001 | SIGMOD | 0.00019048986 |
| 1,065 | Processing Complex Aggregate Queries over Data Streams | 2002 | SIGMOD | 0.00014344675 |
| 1,400 | Wavelet Synopses with Error Guarantees | 2002 | SIGMOD | 0.0001219602 |
| 1,904 | Characterizing Memory Requirements for Queries over Continuous Data Streams | 2002 | PODS | 0.00010144623 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.7935134e-05 |
| 3,796 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7554597e-05 |
| 12,696 | Data Mining on an OLTP System (Nearly) for Free | 2000 | SIGMOD | 4.1905499e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,417 | Uncertain Time-Series Similarity: Return to the Basics | 2012 | VLDB | 4.7309512e-05 |
| 8,279 | OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting | 2023 | VLDB | 4.5392079e-05 |
| 6,339 | A Regression-Based Temporal Pattern Mining Scheme for Data Streams | 2003 | VLDB | 5.0989397e-05 |
| 9,919 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 4.2520778e-05 |
| 11,147 | Weakly Guided Adaptation for Robust Time Series Forecasting | 2024 | VLDB | 4.1905499e-05 |
| 4,951 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 5.8067758e-05 |
| 6,419 | AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data | 2024 | VLDB | 5.0621949e-05 |
| 2,429 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.8285306e-05 |
| 13,127 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 12,594 | Indexing and Mining Streams | 2004 | SIGMOD | 4.1905499e-05 |