2878 search results - page 180 / 576 » Learning the Common Structure of Data |
151
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ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
165
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PAMI
2008
15 years 4 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
116
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ISI
2007
Springer
15 years 10 months ago
2007
Springer
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...
149
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BMCBI
2010
14 years 11 months ago
2010
Background: The functional and structural characterisation of enzymes that belong to microbial metabolic pathways is very important for structure-based drug design. The main inter...
138
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WSDM
2009
ACM
15 years 10 months ago
2009
ACM
This paper focuses on ‘user browsing graph’ which is constructed with users’ click-through behavior modeled with Web access logs. User browsing graph has recently been adopt...