338 search results - page 16 / 68 » Experiences of Using a Quantitative Approach for Mining Asso... |
ICDE
2003
IEEE
14 years 9 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
DSS
2007
13 years 7 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...
ISBRA
2009
Springer
14 years 2 months ago
2009
Springer
KIM, JIHYE. Mining of Cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. (Under the direction of Steffen Heber). Alternative splicing (AS) is an important...
EMS
2008
IEEE
14 years 2 months ago
2008
IEEE
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
DATAMINE
2006
13 years 7 months ago
2006
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...