1082 search results - page 210 / 217 » Graph Mining using Graph Pattern Profiles |
163
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CIKM
2010
Springer
15 years 1 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
156
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
167
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UAI
2007
15 years 5 months ago
2007
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
145
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WWW
2010
ACM
15 years 11 months ago
2010
ACM
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
154
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CIKM
2006
Springer
15 years 8 months ago
2006
Springer
The blogosphere--the totality of blog-related Web sites-has become a great source of trend analysis in areas such as product survey, customer relationship, and marketing. Existing...