68 search results - page 3 / 14 » A Comparative Study of RNN for Outlier Detection in Data Min... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
ICDE
2011
IEEE
12 years 9 months ago
2011
IEEE
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
DASFAA
2006
IEEE
13 years 11 months ago
2006
IEEE
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...