69 search results - page 2 / 14 » An Approach to Outlier Detection of Software Measurement Dat... |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
CVPR
2011
IEEE
12 years 9 months ago
2011
IEEE
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
IJON
2006
13 years 5 months ago
2006
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
KDD
2009
ACM
14 years 3 days ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...