1056 search results - page 26 / 212 » Association Rule Mining Algorithms for Set-Valued Data |
PAKDD
2005
ACM
15 years 3 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...
95
Voted
AIIA
2003
Springer
15 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...
KDD
2003
ACM
15 years 10 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
14 years 9 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
15 years 1 months 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...