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Everything about Apriori algorithm

Data-mining algorithm

Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Apriori algorithmA 5-minute orientation
  2. Skim a recent paper: Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network ApproachesInfluential work since 2022
  3. Pick up a classic book: The Elements of Statistical LearningThe most-reprinted book on the subject
  4. Read the landmark paper: An Improved Apriori Algorithm For Association RulesCited 108 times
  5. Go sideways: Association rule learningA closely related topic
  6. Go sideways: GSP algorithmA closely related topic

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