319 search results - page 1 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
VLDB
1998
ACM
13 years 8 months ago
1998
ACM
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
AUSDM
2007
Springer
13 years 10 months ago
2007
Springer
PAKDD
2009
ACM
13 years 9 months ago
2009
ACM
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
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...