Set and Association Rule Mining

market basket analysis

Set and Association Rule Mining-

Association mining is important for extract data from large database. In industry lots of data available because of day to day transaction. The association rule finds the data who related with each other and they frequently purchased by customer most of time. In retail market association rule can fallow a key rule to find a frequent item set from large database system. That frequent item is used for giving a decision in future. Association rule mining used in catalog mining, gross marketing, profit and loss analysis.

A best example of association rule is market basket analysis-




Market Basket Analysis-

It is the study of items are purchased from customer or grouped by customer in single transaction or multiple sequential transactions.

This process is used to find how many customer purchase items sequential in condition if and then, example if customer buy a milk the also that customer buy a bread in that transaction. The retailer from market can overview that transactions for increase sell in future or predict a decision for that frequently item mainly. That method used basically a association rule strategy. The association rule explain the if and then condition in purchase items sequentially.

market basket analysis

Example-If one customer purchase milk and bread in basket from super market the another customer also purchase milk, bread and butter but in both transaction milk and bread is common in basket. So, that both items are mostly frequently purchased from market and that analysis find future outcomes for better decision. Market basket analysis covers that analysis with use of association rule.

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