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» Detecting Anomalies in Graphs
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CAIP
2009
Springer
117views Image Analysis» more  CAIP 2009»
15 years 11 months ago
A Hypergraph-Based Model for Graph Clustering: Application to Image Indexing
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
Salim Jouili, Salvatore Tabbone
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
15 years 10 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
ICASSP
2010
IEEE
15 years 4 months ago
Graph based event detection from realistic videos using weak feature correspondence
We study the problem of event detection from realistic videos with repetitive sequential human activities. Despite the large body of work on event detection and recognition, very ...
Lei Ding, Quanfu Fan, Jen-Hao Hsiao, Sharath Panka...
139
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ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 3 months ago
Graph regularization methods for Web spam detection
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 5 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles