Association Rule Mining
Association rule mining is a popular term and is quite a well researched method which is used for discovering relations between variables like large databases. The goal is to find associations of items that occur together more often than one would expect from a random sampling of all possibilities.
It is intended to identify strong rules in databases using different measures of interests. The rule found in the sales data of a supermarket would indicate that if a customer buys onions and potatoes together, he or she is likely to also buy hamburger meat.
Such information can be used as the basis for decisions about marketing activities, promotional pricing and product placements.
Concepts of Association Rule Mining
There are certain measures that are useful and are the best rules of all. After analyzing these values for all the rules, the best rules for WB have been obtained.
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