319 search results - page 7 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
PRL
2010
14 years 4 months ago
2010
It is desirable to find unusual data objects by Ramaswamy et al's distance-based outlier definition because only a metric distance function between two objects is required. It...
VLDB
1998
ACM
15 years 2 months ago
1998
ACM
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
KDD
1998
ACM
15 years 2 months ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...