Interactive Outlier Exploration in Big Data Streams
Summary: VSOutlier enables interactive exploration of outliers in big data streams with diverse types and efficient detection. Real-time analytics on stock transactions and moving-object streams help analysts identify, understand, and respond to phenomena. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lei Cao (Worcester Polytechnic Institute)
- 2. Qingyang Wang (Worcester Polytechnic Institute)
- 3. Elke A. Rundensteiner (Worcester Polytechnic Institute)
BibTeX Citation
@article{cao_vldb14,
title = {{Interactive Outlier Exploration in Big Data Streams}},
author = {Cao, Lei and Wang, Qingyang and Rundensteiner, Elke A.},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1621--1624},
doi = {10.14778/2733004.2733058},
url = {https://doi.org/10.14778/2733004.2733058},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 782 | DBSherlock: A Performance Diagnostic Tool for Transactional Databases | 2016 | SIGMOD | 0.00014022168 |
| 1,480 | Distance-based Outlier Detection in Data Streams | 2016 | VLDB | 0.00010540994 |
| 1,833 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.5405247e-05 |
| 2,547 | NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing | 2019 | VLDB | 8.3160201e-05 |
| 5,440 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB | 6.1276555e-05 |
| 7,566 | Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries | 2024 | SIGMOD | 5.4952834e-05 |
| 8,242 | Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries | 2021 | SIGMOD | 5.3703546e-05 |
| 8,400 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 5.3395906e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 142 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00029202746 |
| 583 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD | 0.00015960125 |
| 695 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00014702685 |
| 3,946 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD | 6.9083867e-05 |
| 4,100 | Big Data in Capital Markets | 2013 | SIGMOD | 6.8073539e-05 |
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| 10 | 3,946 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD |