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01_​Build_​Association_​Rules_​for_​MarketBasketAnalysis

Market Basket Analysis: Building Association Rules
Market Basket Analysis: Build Association Rules 1. Read Transaction/Basket data and Product data 2. Using "A priori" algorithm, build association rule set - min. set size = 1 - min rule confidence = 10% - min support is controlled by Double Input Quickform node in % 3. Translate Antecedent collections into product name concatenations 4. Translate Consequent Item ID into Consequent Product Name 5. Calculate price stats and rule revenue 6. Write assciation rule set to file Read data1. Transactions2. Productscalculate association rules("A priori" algorithm)- translate antecedent collectionto product name concatenations- associate consequent product ID to product name- calculate price stats and rule revenuewrite association rulesto a fileNode 114 Read HistoricalBasket Data Association RuleLearner (Borgelt) Ungroup collections Table Writer DoubleConfiguration Market Basket Analysis: Build Association Rules 1. Read Transaction/Basket data and Product data 2. Using "A priori" algorithm, build association rule set - min. set size = 1 - min rule confidence = 10% - min support is controlled by Double Input Quickform node in % 3. Translate Antecedent collections into product name concatenations 4. Translate Consequent Item ID into Consequent Product Name 5. Calculate price stats and rule revenue 6. Write assciation rule set to file Read data1. Transactions2. Productscalculate association rules("A priori" algorithm)- translate antecedent collectionto product name concatenations- associate consequent product ID to product name- calculate price stats and rule revenuewrite association rulesto a fileNode 114 Read HistoricalBasket Data Association RuleLearner (Borgelt) Ungroup collections Table Writer DoubleConfiguration

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