7150 search results - page 827 / 1430 » Graph-Based Data Mining |
172
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
144
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is nor...
200
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
208
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
215
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...