719 search results - page 1 / 144 » Efficient Algorithms for Mining Outliers from Large Data Set... |
SIGMOD
2000
ACM
13 years 8 months ago
2000
ACM
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
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...
KDD
2005
ACM
13 years 9 months ago
2005
ACM
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...
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 ...
SIGMOD
1998
ACM
13 years 8 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...