719 search results - page 3 / 144 » Efficient Algorithms for Mining Outliers from Large Data Set... |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
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 ...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
DPD
2002
13 years 4 months ago
2002
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...