Market basket analysis using apriori algorithm to find consumer patterns in buying goods through transaction data (case study of Mizan computer retail stores)
نویسندگان
چکیده
Abstract Mizan Computer Shop is a shop that engaged in the trading sector, especially field of selling computers and supporting accessories. Growing increasing number business actors computer can makes players challenged to be able create unique differentiation clear positioning. So, consumers differentiate from their competitors. Competitive dynamic market conditions make every company should always observe competition environment. Retail stores need use all available resources including data. Data processing expected provide information used support marketing strategies. One data methods are often strategies mining techniques i.e Market Basket Analysis using priori algorithm. The application designed waterfall method which starts analyzing user needs, designing process UML consists of: Use Case Diagrams, Activity Diagrams Sequence . This was built PHP programming language. From results analysis this research, it concluded for combination 2 items with highest confidence value 100% lift ratio 3.39 if consumer buys Laptop Charger, he will also buy keyboard 3 2.17 Joystick Laptop, mouse.
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متن کاملCalculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationallyintensive subproblem of data mining involves nding frequent sets in order to help mine association rules for market basket analysis. Given a bag of sets and a probability, the frequent set problem is to determine which subsets occur in the bag with some minimum pr...
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/1722/1/012020