104 search results - page 6 / 21 » Iterative Subgraph Mining for Principal Component Analysis |
ADBIS
2003
Springer
14 years 24 days ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
NIPS
2003
13 years 9 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...