4 search results - page 1 / 1 » Symmetric Item Set Mining Based on Zero-Suppressed BDDs |
DIS
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
IJCAI
2007
13 years 6 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...