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» Parallel Mining of Outliers in Large Database
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DPD
2002
125views more  DPD 2002»
13 years 2 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 7 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 5 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 8 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 3 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