LOF: Identifying Density-Based Local Outliers

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DBLP:conf/sigmod/BreunigKNS00 +  redirect page

LOF: Identifying Density-Based Local Outliers +  Has identifier

LOF: Identifying Density-Based Local Outliers

Has publishing details  pp. 93-104, 2000

Has title  LOF: Identifying Density-Based Local Outliers

Has url  http://www.informatik.uni-trier.de/~ley/db/conf/sigmod/sigmod2000.html#BreunigKNS00

Has where published  SIGMOD Conference

Has year  2000

Has author  Markus M. Breunig +, Hans-Peter Kriegel +, Raymond T. Ng +, Jörg Sander +

Has citation  DBLP:conf/kdd/ArningAR96 +, OPTICS: Ordering Points To Identify the Clustering Structure +, Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications +, The X-tree : An Index Structure for High-Dimensional Data +, DBLP:conf/kdd/DuMouchelS98 +, DBLP:conf/kdd/EsterKSX96 +, DBLP:journals/datamine/FawcettP97 +, DBLP:conf/kdd/FayyadPS96 +, DBLP:conf/kdd/HinneburgK98 +, DBLP:conf/kdd/JohnsonKN98 +, Algorithms for Mining Distance-Based Outliers in Large Datasets +, Finding Intensional Knowledge of Distance-Based Outliers +, Efficient and Effective Clustering Methods for Spatial Data Mining +, DBLP:books/sp/PreparataS85 +, Efficient Algorithms for Mining Outliers from Large Data Sets +, WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases +, A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces +, STING: A Statistical Information Grid Approach to Spatial Data Mining +, BIRCH: An Efficient Data Clustering Method for Very Large Databases +

Has identifier  LOF: Identifying Density-Based Local Outliers +

Categories  Proceeding Paper +

 

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