1976 search results - page 51 / 396 » Predictive Graph Mining |
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
KDD
1998
ACM
14 years 1 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
KDD
1997
ACM
14 years 28 days ago
1997
ACM
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
SSDBM
2010
IEEE
13 years 7 months ago
2010
IEEE
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
KDD
2004
ACM
14 years 2 months ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...