Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries
Summary: MDUAL leverages the duality of data and queries to process similar data points and queries incrementally for continuous stream outlier detection. Data-query grouping and prioritized group processing enable large multiplicity-dynamic query handling; achieves 216–221× speedups and 11–13× memory savings over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Susik Yoon
- 2. Yooju Shin
- 3. Jae-Gil Lee
- 4. Byung Suk Lee
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,762 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 5.9338398e-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 |
|---|---|---|---|---|
| 159 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00040135453 |
| 424 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023604384 |
| 768 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016864875 |
| 1,859 | Distance-based Outlier Detection in Data Streams | 2016 | VLDB | 0.00010307902 |
| 2,029 | On Complexity and Optimization of Expensive Queries in Complex Event Processing | 2014 | SIGMOD | 9.7344839e-05 |
| 3,014 | NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing | 2019 | VLDB | 7.7079954e-05 |
| 3,176 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB | 7.4380543e-05 |
| 3,580 | Query Performance Prediction for Concurrent Queries using Graph Embedding | 2020 | VLDB | 6.9460425e-05 |
| 6,990 | Sharing-Aware Outlier Analytics over High-Volume Data Streams | 2016 | SIGMOD | 4.8656085e-05 |
| 8,819 | Modeling Skew in Data Streams | 2006 | SIGMOD | 4.4378541e-05 |
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