Agrawal {arulesNBMiner}

Synthetic Example Dataset Agrawal

Description

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.

Usage

data(Agrawal)

Format

The format is: transactions Agrawal.db itemsets Agrawal.pat

Details

Agrawal.db contains the dataset (1000 items/20000 transactions) and Agrawal.pat contains the patterns that were used to create the dataset.

References

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.

Examples

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)