132 search results - page 3 / 27 » Anomaly detection in data represented as graphs |
CSDA
2010
13 years 5 months ago
2010
Abstract: Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph fe...
DMIN
2007
13 years 6 months ago
2007
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a represen...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...