568 search results - page 25 / 114 » Building predictors from vertically distributed data |
74
Voted
BIRD
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
GPEM
2010
14 years 8 months ago
2010
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
82
Voted
VLDB
2005
ACM
15 years 3 months ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
IADIS
2003
14 years 11 months ago
2003
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...