661 search results - page 44 / 133 » Scalable Parallel Data Mining for Association Rules |
KDD
1997
ACM
13 years 12 months ago
1997
ACM
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
PAKDD
2005
ACM
14 years 1 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...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
JMLR
2010
13 years 2 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ACSW
2004
13 years 9 months ago
2004
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...