Sciweavers

53 search results - page 2 / 11
» Subspace outlier mining in large multimedia databases
Sort
View
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 7 months ago
Mining distance-based outliers from large databases in any metric space
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...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
13 years 11 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
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...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
13 years 11 months ago
Robust Decision Trees: Removing Outliers from Databases
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...
George H. John
VLDB
1998
ACM
192views Database» more  VLDB 1998»
13 years 11 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
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 ...
Edwin M. Knorr, Raymond T. Ng
SIGMOD
1998
ACM
199views Database» more  SIGMOD 1998»
13 years 11 months ago
MultiMediaMiner: A System Prototype for Multimedia Data Mining
Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner...
Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonn...