Algorithms for Mining Distance-Based Outliers in Large Datasets
Summary: Introduces distance-based (DB) outliers for scalable, multidimensional anomaly detection beyond two attributes. Develops O(kN²) baselines, a cell-based algorithm linear in N but exponential in dimensionality, and a disk-resident variant requiring at most three passes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Edwin M. Knorr (University of British Columbia)
- 2. Raymond T. Ng (University of British Columbia)
BibTeX Citation
@article{knorr_vldb98,
title = {{Algorithms for Mining Distance-Based Outliers in Large Datasets}},
author = {Knorr, Edwin M. and Ng, Raymond T.},
journal = {PVLDB},
series = {{VLDB} '98},
pages = {392--403},
year = {1998}
}
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0020210012 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 88 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00035240327 |
| 349 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB | 0.00020432737 |
| 1,512 | On the Analysis of Indexing Schemes | 1997 | PODS | 0.00010536001 |
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