198 search results - page 4 / 40 » Learning Tutorial Rules Using Classification Based On Associ... |
AIIA
2003
Springer
14 years 2 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
DEXA
2008
Springer
13 years 10 months ago
2008
Springer
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
FUZZIEEE
2007
IEEE
14 years 3 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
DSS
2007
13 years 9 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...