It has been observed that consumers have a predisposition to buy a second product, a third even, alongside one another, like they can’t get one without the other. Market basket analysis is a method that retail managers use to identify purchase patterns involving two or more products based on their affinity. This way, we understand what drives every purchase, which allows marketers to direct their promotions on the bestsellers and the consequent products. MBA provides a descriptive analysis and unlocks any associations across products and services. The term itself is based on the idea of a shopping cart, or basket if you will. Market basket analysis uses mined data that shows what a customer buys, their reason for doing so, and what other products they buy it with. Where to use market basket analysis data.Association elements of market basket analysis. If the the separator is whitespace then use qoutes to enclose it like this.Ī value of 5 will find all frequent item-sets of size upto 5 if possible given the threshold support specified above. Keep the order intact as it is else you will run into errors while running this project. If you want to run the project with different minimum Support or Confidence value then you have to change the value and save the file before next run. If you want to use your own dataset just copy that file into this directory mentioned and change the dataset name parameter in the config file to the one you will be using. Multiple transaction datasets has been put under dataset directory. Some of this parameters will be passed as command line arguments to the jar file while running this project while others will be used to automate the running process. Dataset On Restaurants To Perform Market Basket Analysis Update Default ValuesĮdit this file to update default values of the paramters to your desired values. The entire process of building and running this project has been automated using Gradle.įor example if you have Hadoop 2.7.1 installed then you need to edit the adle file changing the following lines to match your current version.Īll the configurable parameters to customize is available in the config file. These list of Rules sorted by consequent (RHS of the association) first and then by Lift is the final output of this project. Dataset On Restaurants To Perform Market Basket Analysis Update Default Valuesĭuplicate, reverse and redundant rules are removed to produce interesting and useful rules only.
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