MARKET BASKET ANALYST BASED ON WEBSITE USING ECLAT ALGORITHM (CASE STUDY POLA PHARMACY)

Edgar Lawrence, Bagus Mulyawan, Novario Jaya Perdana

Abstract


Market basket analyst is a data mining technique to
discover associations between datasets. Association rule
mining identifies a relationship between a large set of
data item. When a large quantity of data is constantly
obtained and stored in database, several industries are
becoming concerned about mining association rules
from their databases. Market basket analysis examines
customer buying patterns by identifying associations
among various items that customers place in their
shopping baskets. It is helpful to examine customer
purchasing behaviour and assists in increasing sales. So
this system is intended to develop a system for market
basket analysis on Pola Pharmacy which generate
association rules among itemsets with the use of ECLAT
(Equivalence Class Transformation) algorithm. This
system supports the decision making process for a
market expert.


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