123 search results - page 13 / 25 » Bayesian Algorithms for Causal Data Mining |
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
DKE
2007
13 years 7 months ago
2007
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
BMCBI
2010
13 years 7 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...