319 search results - page 6 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
AUSAI
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
KDD
1995
ACM
15 years 1 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...
ICDCS
2006
IEEE
15 years 4 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
ICDM
2006
IEEE
2006
IEEE
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
15 years 4 months ago
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...