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Finding Intensional Knowledge of Distance-Based Outliers

Summary: Introduces intensional knowledge for distance-based outliers, characterizing strongest/weak outliers with structural explanations beyond mere detection. Optimizes discovery via path and semi-lattice sharing, yielding substantial I/O and runtime savings over naive and semi-naive methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8756
Venue
VLDB
Year
1999
Pagerank
8.2869029e-05
Overall Rank
2,660 | 81.76%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{knorr_vldb99,
        title = {{Finding Intensional Knowledge of Distance-Based Outliers}},
        author = {Knorr, Edwin M. and Ng, Raymond T.},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {211--222},
        year = {1999}
}

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