68 search results - page 4 / 14 » A Comparative Study of RNN for Outlier Detection in Data Min... |
NC
1998
13 years 7 months ago
1998
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
TSMC
2011
13 years 1 months ago
2011
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
KAIS
2007
13 years 6 months ago
2007
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...