Market Basket Analysis Data
This data set has been uploaded for association rules analysis such as apriori.
@kaggle.ahmtcnbs_datasets_for_appiori
This data set has been uploaded for association rules analysis such as apriori.
@kaggle.ahmtcnbs_datasets_for_appiori
Market Basket Analysis
Apriori algorithm is given by R. Agrawal and R. Srikant in 1994 for finding frequent itemsets in a dataset for boolean association rule. Name of the algorithm is Apriori because it uses prior knowledge of frequent itemset properties. We apply an iterative approach or level-wise search where k-frequent itemsets are used to find k+1 itemsets.
CREATE TABLE basket_analysis (
"unnamed_0" BIGINT -- Unnamed: 0,
"apple" BOOLEAN,
"bread" BOOLEAN,
"butter" BOOLEAN,
"cheese" BOOLEAN,
"corn" BOOLEAN,
"dill" BOOLEAN,
"eggs" BOOLEAN,
"ice_cream" BOOLEAN,
"kidney_beans" BOOLEAN,
"milk" BOOLEAN,
"nutmeg" BOOLEAN,
"onion" BOOLEAN,
"sugar" BOOLEAN,
"unicorn" BOOLEAN,
"yogurt" BOOLEAN,
"chocolate" BOOLEAN
);Anyone who has the link will be able to view this.