1056 search results - page 26 / 212 » Association Rule Mining Algorithms for Set-Valued Data |
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
AIIA
2003
Springer
14 years 1 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...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
ESWA
2008
13 years 8 months ago
2008
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
DMKD
1997
ACM
14 years 26 days ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...