92 search results - page 5 / 19 » Mining Outliers in Spatial Networks |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
KDD
2007
ACM
14 years 8 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...
CIE
2010
Springer
14 years 12 days ago
2010
Springer
This paper discusses the use of spatial graph models for the analysis of networks that do not have a direct spatial reality, such as web graphs, on-line social networks, or citatio...
DMKD
2004
ACM
14 years 1 months ago
2004
ACM
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...