56 search results - page 8 / 12 » Mining Frequent Patterns with Counting Inference |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
GIS
2004
ACM
14 years 8 months ago
2004
ACM
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
KESAMSTA
2010
Springer
14 years 12 days ago
2010
Springer
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...