Matches in SemOpenAlex for { <https://semopenalex.org/work/W208301935> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W208301935 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2006 SIAM International Conference on Data Mining (SDM)Fast Mining of Distance-Based Outliers in High-Dimensional DatasetsAmol Ghoting, Srinivasan Parthasarathy, and Matthew Eric OteyAmol Ghoting, Srinivasan Parthasarathy, and Matthew Eric Oteypp.609 - 613Chapter DOI:https://doi.org/10.1137/1.9781611972764.70PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract Defining outliers by their distance to neighboring data points has been shown to be an effective non-parametric approach to outlier detection. Existing algorithms for mining distance-based outliers do not scale to large, highdimensional data sets. In this paper, we present RBRP, a fast algorithm for mining distance-based outliers, particularly targeted at high-dimensional data sets. RBRP scales log-linearly as a function of the number of data points and linearly as a function of the number of dimensions. Our empirical evaluation demonstrates that we outperform the state-of-the-art, often by an order of magnitude. Previous chapter Next chapter RelatedDetails Published:2006ISBN:978-0-89871-611-5eISBN:978-1-61197-276-4 https://doi.org/10.1137/1.9781611972764Book Series Name:ProceedingsBook Code:PR124Book Pages:xii + 646Key words:Outlier detection, high-dimensional data sets, approximate k-nearest neighbors, clustering" @default.
- W208301935 created "2016-06-24" @default.
- W208301935 creator A5043552468 @default.
- W208301935 creator A5055996684 @default.
- W208301935 creator A5076488599 @default.
- W208301935 date "2006-04-20" @default.
- W208301935 modified "2023-09-23" @default.
- W208301935 title "Fast Mining of Distance-Based Outliers in High-Dimensional Datasets" @default.
- W208301935 cites W107887801 @default.
- W208301935 cites W1530232915 @default.
- W208301935 cites W1589269155 @default.
- W208301935 cites W1592237688 @default.
- W208301935 cites W1602011302 @default.
- W208301935 cites W1970655212 @default.
- W208301935 cites W1971238646 @default.
- W208301935 cites W1979877030 @default.
- W208301935 cites W2050749090 @default.
- W208301935 cites W2095897464 @default.
- W208301935 cites W2116013009 @default.
- W208301935 cites W2124536999 @default.
- W208301935 cites W2129281431 @default.
- W208301935 cites W2147717514 @default.
- W208301935 cites W2148694408 @default.
- W208301935 cites W2165558283 @default.
- W208301935 cites W2238624099 @default.
- W208301935 cites W2427881153 @default.
- W208301935 cites W2913066018 @default.
- W208301935 doi "https://doi.org/10.1137/1.9781611972764.70" @default.
- W208301935 hasPublicationYear "2006" @default.
- W208301935 type Work @default.
- W208301935 sameAs 208301935 @default.
- W208301935 citedByCount "30" @default.
- W208301935 countsByYear W2083019352012 @default.
- W208301935 countsByYear W2083019352013 @default.
- W208301935 countsByYear W2083019352015 @default.
- W208301935 countsByYear W2083019352017 @default.
- W208301935 countsByYear W2083019352019 @default.
- W208301935 countsByYear W2083019352020 @default.
- W208301935 countsByYear W2083019352022 @default.
- W208301935 crossrefType "proceedings-article" @default.
- W208301935 hasAuthorship W208301935A5043552468 @default.
- W208301935 hasAuthorship W208301935A5055996684 @default.
- W208301935 hasAuthorship W208301935A5076488599 @default.
- W208301935 hasBestOaLocation W2083019352 @default.
- W208301935 hasConcept C105795698 @default.
- W208301935 hasConcept C11413529 @default.
- W208301935 hasConcept C117251300 @default.
- W208301935 hasConcept C124101348 @default.
- W208301935 hasConcept C154945302 @default.
- W208301935 hasConcept C33923547 @default.
- W208301935 hasConcept C41008148 @default.
- W208301935 hasConcept C73555534 @default.
- W208301935 hasConcept C739882 @default.
- W208301935 hasConcept C79337645 @default.
- W208301935 hasConceptScore W208301935C105795698 @default.
- W208301935 hasConceptScore W208301935C11413529 @default.
- W208301935 hasConceptScore W208301935C117251300 @default.
- W208301935 hasConceptScore W208301935C124101348 @default.
- W208301935 hasConceptScore W208301935C154945302 @default.
- W208301935 hasConceptScore W208301935C33923547 @default.
- W208301935 hasConceptScore W208301935C41008148 @default.
- W208301935 hasConceptScore W208301935C73555534 @default.
- W208301935 hasConceptScore W208301935C739882 @default.
- W208301935 hasConceptScore W208301935C79337645 @default.
- W208301935 hasLocation W2083019351 @default.
- W208301935 hasLocation W2083019352 @default.
- W208301935 hasOpenAccess W208301935 @default.
- W208301935 hasPrimaryLocation W2083019351 @default.
- W208301935 hasRelatedWork W1531205890 @default.
- W208301935 hasRelatedWork W2143077131 @default.
- W208301935 hasRelatedWork W2337929971 @default.
- W208301935 hasRelatedWork W2348044294 @default.
- W208301935 hasRelatedWork W3183283580 @default.
- W208301935 hasRelatedWork W4250175685 @default.
- W208301935 hasRelatedWork W4312609022 @default.
- W208301935 hasRelatedWork W4313069709 @default.
- W208301935 hasRelatedWork W2287462975 @default.
- W208301935 hasRelatedWork W2575052681 @default.
- W208301935 isParatext "false" @default.
- W208301935 isRetracted "false" @default.
- W208301935 magId "208301935" @default.
- W208301935 workType "article" @default.