Abstract:
Many organizations are being interested in
mining association rules from business records
because they desire to promotethe benefit from
large amount of data that are continuously stored
in databases. Discovery of frequent itemsets
through transactional records can support very
useful idea and advice in business decision
making processes. Mining association rules from
transactions is important in business called
market basket analysis. It helps the administrative
level for making effective decisions.This system is
intended to develop for analyzing the correlation
of different items that are frequently buying
together in a grocery store. Equivalence Class
Transformation (ECLAT) is one of the best
algorithms to identify which products are
frequently bought together.Such sets of associated
products can be used to optimize the offered
products on the displayed stands.Therefore, this
system can give guide lines with valuable advices
to managers who are managing the arrangement
of the items in grocery store.
