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

Market Basket Analysis: Building Association Rules
This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm. 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 file Read HistoricalBasket Data Association RuleLearner (Borgelt) Ungroup collections DoubleConfiguration Table Writer This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm. 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 fileRead HistoricalBasket Data Association RuleLearner (Borgelt) Ungroup collections DoubleConfiguration Table Writer

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Created by: rosy
Created at: 2015-03-23
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v4.5.0
Tags: retailassociation rulesrecommandation enginemarket basket analysisMBAApriori algorithmBorgeltdata collectionQuickformsupply chainretailrecommendation enginePracticing Data Science

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