Dataset: Market Basket Analysis Data

About this Dataset

Market Basket Analysis Data

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.

Tables

Basket Analysis

@kaggle.ahmtcnbs_datasets_for_appiori.basket_analysis

16.5 KB
999 rows
17 columns


CREATE TABLE basket_analysis (
  "unnamed_0" BIGINT,
  "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
);