40 search results - page 5 / 8 » Top-k Correlative Graph Mining. |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
KAIS
2008
13 years 7 months ago
2008
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...