Abstract:
Discovering association rules has received
considerable research attention and several fast
algorithms for mining association rules have been
developed. In practice, users are often interested
in a subset of association rules. For example, they
may only want rules that contain a specific item or
categories.Constraints can be applied to the
association rule mining and integrating them into
the mining algorithm can dramatically reduce the
execution time. This paper presents constraints as
boolean expressions over the presence or absence
of items which are integrated into the association
rule algorithm. To generate constraint association
rule, Direct algorithm is used in this system.
Constraint association rule is applied for Mini
Market Transaction Dataset. The process of
discovering association rules at single level has
received significant research attention and several
algorithms for mining frequent itemsets have been
developed. The discovery of multi-level
association rules is very much useful in many
applications. In this system, multi-level constraint
association rule by Direct algorithm is presented.
