Eclat algorithm for market basket analysis

eaglewarrior · Oct 2, 2018 · ea3cf0f · ea3cf0f
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+# Eclat
+
+# Data Preprocessing
+# install.packages('arules')
+library(arules)
+dataset = read.csv('Market_Basket_Optimisation.csv')
+dataset = read.transactions('Market_Basket_Optimisation.csv', sep = ',', rm.duplicates = TRUE)
+summary(dataset)
+itemFrequencyPlot(dataset, topN = 10)
+
+# Training Eclat on the dataset
+rules = eclat(data = dataset, parameter = list(support = 0.003, minlen = 2))
+
+# Visualising the results
+inspect(sort(rules, by = 'support')[1:10])