Download data mining for market basket analysis using rule-based

DATA MINING FOR MARKET BASKET ANALYSIS
USING RULE-BASED NEURAL NETWORKS
Student Name
NRP
Counsellor
: Yuliani Puji Astuti
: 1203 201 004
: DR. M. Isa Irawan, M.T.
ABSTRACT
In this free trade era all producers have to improve their competitiveness.
Besides by upgrading product, all producers also have to pay attention to quality of
service to consumer. Quality of service can be improved by watering down consumer
in shopping and getting goods required. A marketing manager require the
information obtained from related association rules of product from historical data.
Pattern obtained referable to recognize the consumer behavior, reading tendency of
appetite of future market, and also to get the new market.
Data Mining, specially for Market Basket Analysis, can assist to know the
related pattern the product composition bought by consumer in the form of
association rules. the Association Rules can be made by determination guidance
arrangement of the products to make consumer easier to get them concurrently. In
this thesis, Rule-Based Neural Networks (RBNN) is used as method to get the
association rules and compare it with the calculation confidence. Through training as
much 3500 transaction data, RBNN succeed to get the association rules coming near
calculation confidence so that applicable to Market Basket Analysis.
Keywords :
Data Mining, Market Basket Analysis, Association Rules, Rule-Based
Neural Networks
11