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The Apriori algorithm is a classical algorithm in data mining used for mining frequent itemsets and generating association rules from transactional datasets. It works on the principle that any subset of a frequent itemset must also be frequent. This property, known as the Apriori property, helps in pruning the search space significantly. In an AI and Machine Learning Lab, implementing Apriori in Python helps students understand unsupervised learning concepts, pattern discovery, support counting, and candidate generation. Below is a Python program that implements the Apriori algorithm on a sample transactional dataset of a small grocery store. The dataset consists of transactions where each transaction contains a list of items ______ _______ ____ ________ _______ ____ ________ ___ ________.
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