4009 search results - page 249 / 802 » Clustering on Complex Graphs |
162
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ICMLA
2004
15 years 7 months ago
2004
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
137
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ICWSM
2009
15 years 3 months ago
2009
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
180
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CVPR
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
259
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VLDB
2007
ACM
16 years 5 months ago
2007
ACM
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
251
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SIGMOD
2008
ACM
16 years 5 months ago
2008
ACM
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...