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02_​Build_​Association_​Rules_​for_​MarketBasketAnalysis_​solution

Market Basket Analysis: Building Association Rules - solution
Exercise: Market Basket Analysis: Build Association RulesThis workflow reads transaction/basket data and product data. The goal is to extract association rules based on thetransaction/basket data.1) Use the Association Rule Learner node to calculate the association rules with the following settings:- min rule confidence = 10%- min support 2.5- Leave other settings to their defaults2) Translate the product IDs in the antecedent collection and the consequence to product names by applying the Translate Product Ids to Product Names metanode. Read dataTop: TransactionsBottom: Productswrite association rulesto a filecalculate association rules("A priori" algorithm)Top: Association rulesBottom: Lookup table Products and Product Ids Read HistoricalBasket Data Table Writer AssociationRule Learner Translate Product Idsto Product Names Exercise: Market Basket Analysis: Build Association RulesThis workflow reads transaction/basket data and product data. The goal is to extract association rules based on thetransaction/basket data.1) Use the Association Rule Learner node to calculate the association rules with the following settings:- min rule confidence = 10%- min support 2.5- Leave other settings to their defaults2) Translate the product IDs in the antecedent collection and the consequence to product names by applying the Translate Product Ids to Product Names metanode. Read dataTop: TransactionsBottom: Productswrite association rulesto a filecalculate association rules("A priori" algorithm)Top: Association rulesBottom: Lookup table Products and Product Ids Read HistoricalBasket Data Table Writer AssociationRule Learner Translate Product Idsto Product Names

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