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» Subspace outlier mining in large multimedia databases
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DAGSTUHL
2007
9 years 8 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
7 years 9 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
9 years 11 months ago
Mining top-n local outliers in large databases
Wen Jin, Anthony K. H. Tung, Jiawei Han
DPD
2002
125views more  DPD 2002»
9 years 7 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
2006
ACM
142views Data Mining» more  KDD 2006»
10 years 7 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
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