CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining

Imad Rahal, Riad Rahhal, Baoying Wang, William Perrizo
2008 International Journal of Bioinformatics Research and Applications  
This paper analyses annotated genome data by applying a very central data-mining technique known as Association Rule Mining (ARM) with the aim of discovering rules and hypotheses capable of yielding deeper insights into this type of data. In the literature, ARM has been noted for producing an overwhelming number of rules. This work proposes a new technique capable of using domain knowledge in the form of queries in order to efficiently mine only the subset of the associations that are of
more » ... t to investigators in an incremental and interactive manner.
doi:10.1504/ijbra.2008.017162 pmid:18283027 fatcat:no4g2ni4xfczbesvbgou5mhi4i