What is Apriori Algorithm ?

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Apriori Algorithm is a data mining algorithm used for frequent itemset mining and association rule learning.

Apriori Algorithm is used to find frequent itemsets in a dataset.
It is based on the concept of support and confidence.
Support measures the frequency of an itemset in the dataset.
Confidence measures the likelihood of occurrence of an itemset given the occurrence of another itemset.
The algorithm uses a bottom-up approach to discover frequent itemsets by generating candidate itemsets and pruning infrequent ones.
Apriori Algorithm is widely used in market basket analysis, where it helps identify associations between products frequently purchased together.
For example, if the algorithm finds that customers who buy bread also tend to buy butter, a store can place these items together to increase sales.
The algorithm has applications in recommendation systems, web mining, and bioinformatics as well.

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