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Abstract: We consider the problem of discovering association rules between items in a large database of sales transactions. We present two new algorithms for solving this problem that are fundamentally different from the known algorithms. Experiments with synthetic as well as real-life data show that these algorithms outperform the known algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems. We also show how the best features of the two proposed ... (Update)
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BibTeX entry: (Update)
Rakesh Agrawal and Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules. In Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, September 1994. http://citeseer.ist.psu.edu/agrawal94fast.html More
@inproceedings{ agrawal94fast,
author = "Rakesh Agrawal and Ramakrishnan Srikant",
title = "Fast Algorithms for Mining Association Rules",
booktitle = "Proc. 20th Int. Conf. Very Large Data Bases, {VLDB}",
month = "12--15~",
publisher = "Morgan Kaufmann",
editor = "Jorge B. Bocca and Matthias Jarke and Carlo Zaniolo",
isbn = "1-55860-153-8",
pages = "487--499",
year = "1994",
url = "citeseer.ist.psu.edu/agrawal94fast.html" }
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