Synthetic Example Dataset Agrawal
This dataset is generated by the method described by Agrawal and Srikant (1994) using the reimplementation in arules which also retains the patterns used in the generation process.
Agrawal.db contains the dataset (1000 items/20000 transactions)
Agrawal.pat contains the
patterns that were used to create the dataset.
The format is:
Rakesh Agrawal and Ramakrishnan Srikant (1994). Fast algorithms for mining association rules in large databases. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, pages 487-499, Santiago, Chile.
data(Agrawal) summary(Agrawal.pat) summary(Agrawal.db) ## the data sets was generated with the following code ## Not run: # Agrawal.pat <- random.patterns(1000, nPats = 2000, method = "agrawal", # lPats = 2, corr = 0.5, cmean = 0.5, cvar = 0.1, iWeight = NULL, # verbose = FALSE) # Agrawal.db <- random.transactions(1000, 20000, method="agrawal", # patterns = Agrawal.pat) # ## End(Not run)