Data Mining Association Rules Dependency Discovery
Issue Date:
2009
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Serdica Journal of Computing, Vol. 3, No 3, (2009), 319p-334p
Abstract:
This paper surveys research in the field of data mining, which
is related to discovering the dependencies between attributes in databases.
We consider a number of approaches to finding the distribution intervals of
association rules, to discovering branching dependencies between a given set
of attributes and a given attribute in a database relation, to finding fractional
dependencies between a given set of attributes and a given attribute in a
database relation, and to collaborative filtering.
