An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity
Abstract
References
Index Terms
- An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity
Recommendations
Outlier detection using centrality and center-proximity
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge managementAn outlier is an object that is considerably dissimilar with the remainder of the dataset. In this paper, we first propose the notion of centrality and center-proximity as novel outlierness measures which can be considered to represent the ...
Enhancing Outlier Detection by an Outlier Indicator
Machine Learning and Data Mining in Pattern RecognitionAbstractOutlier detection is an important task in data mining and has high practical value in numerous applications such as astronomical observation, text detection, fraud detection and so on. At present, a large number of popular outlier detection ...
Outlier detection based on rough sets theory
An outlier in a dataset is a point or a class of points that is considerably dissimilar to or inconsistent with the remainder of the data. Detection of outliers is important for many applications and has always attracted attention among data mining ...
Comments
Information & Contributors
Information
Published In
Publisher
IOS Press
Netherlands
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in