22 search results - page 2 / 5 » DBOD-DS: Distance Based Outlier Detection for Data Streams |
CIKM
2007
Springer
14 years 2 months ago
2007
Springer
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
PVLDB
2010
13 years 6 months ago
2010
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
BMCBI
2006
13 years 8 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...