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Association Rules

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Datamining Tools

The document discusses association rule mining for market basket analysis. It describes the market basket model where items are products and baskets represent customer purchases. It defines key terms like support, frequent itemsets, and association rules. It also discusses the challenges of scale for large retail datasets and describes the A-Priori algorithm for efficiently finding frequent itemsets and generating association rules from transaction data.

TecnologiaNegócios
1 de 12
Association Rules Mining : Introduction to Algorithms
The Market-Basket Model ,[object Object],[object Object],[object Object],[object Object],[object Object]
Support ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Example: Frequent Itemsets , {b,c} , {c,j}. {m,b}
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scale of the Problem ,[object Object],[object Object],[object Object]
Association Rules ,[object Object],[object Object],[object Object]
Example: Confidence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Finding Association Rules ,[object Object],[object Object],[object Object],[object Object]
Naïve Algorithm ,[object Object],[object Object],[object Object],[object Object]
A-Priori Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visit more self help tutorials ,[object Object],[object Object],[object Object]

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Association Rules