69 search results - page 2 / 14 » Parallel Mining of Outliers in Large Database |
DAGSTUHL
2007
13 years 6 months ago
2007
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
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...
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
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...
VLDB
1998
ACM
13 years 9 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 ...