335 search results - page 54 / 67 » Mining Association Rules: Anti-Skew Algorithms |
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
IPCCC
2007
IEEE
14 years 1 months ago
2007
IEEE
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
DKE
2008
13 years 7 months ago
2008
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
TCBB
2011
13 years 2 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...