81 search results - page 2 / 17 » Mining top-n local outliers in large databases |
KDD
2006
ACM
14 years 5 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...
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...
SIGMOD
2000
ACM
13 years 9 months ago
2000
ACM
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
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 ...