132 search results - page 16 / 27 » Anomaly detection in data represented as graphs |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
PRL
2011
12 years 10 months ago
2011
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
ER
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We present a new technique for discovering and representing structural changes between two versions of a directed acyclic graph (DAG). Motivated by the necessity of chang...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....