24 search results - page 4 / 5 » On Dense Pattern Mining in Graph Streams |
KDD
2010
ACM
14 years 11 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
KAIS
2010
14 years 8 months ago
2010
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
106
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WSDM
2012
ACM
13 years 5 months ago
2012
ACM
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
156
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SIGMOD
2007
ACM
15 years 9 months ago
2007
ACM
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...