728 search results - page 113 / 146 » Mining for Empty Rectangles in Large Data Sets |
PKDD
2007
Springer
14 years 1 months ago
2007
Springer
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on ...
DATAMINE
1999
13 years 7 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
PAKDD
2009
ACM
14 years 4 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...