Apriori Algorithm in Data Mining - Association Rule Mining - Data Science Algorithm

Apriori algorithm in data mining is a classic algorithm, that is used for mining frequent itemsets and relevant association rules. It is devised to operate on a database containing a lot of transactions, for instance, items that are being brought by customers in a store.When you consider data mining as a topic, then the discussion would not be complete without the mentioning of the term, ‘Apriori Algorithm.’

This algorithm, introduced by R Agrawal and R Srikant in 1994 has great significance and importance in data mining. We shall be seeing the importance of the apriori algorithm in data mining in this tutorial.

This tutorial on "Apriori Algorithm in Data Mining" will help you to comprehensively learn all about this important algorithm. Apriori algorithm is a classical algorithm in data mining. It is used for mining frequent itemsets and relevant association rules. It is devised to operate on a database containing a lot of transactions. This tutorial also primarily focuses on mining using association rules. Association rules are the set of items or attributes that occur together in a table.

Introduction.
- Intro to Conjoint Analysis.
- Math Behind Conjoint Analysis.
- Intro to Market Basket Analysis.
- Implementing the Apriori algorithm.