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» Parallel Mining of Outliers in Large Database
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DPD
2002
125views more  DPD 2002»
13 years 4 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
13 years 9 months ago
Mining top-n local outliers in large databases
Wen Jin, Anthony K. H. Tung, Jiawei Han
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 7 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
13 years 10 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 5 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou