A New Joinless Apriori Algorithm for Mining Association Rules

Denis L. Nkweteyim; Stephen C. Hirtle

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Paper

A New Joinless Apriori Algorithm for Mining Association Rules

In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 234-243, 2005 , Miami, United States

Authors: Denis L. Nkweteyim and Stephen C. Hirtle

Affiliation: School of Information Sciences, University of Pittsburgh, United States

Abstract: In this paper, we introduce a new approach to implementing the apriori algorithm in association rule mining. We show that by omitting the join step in the classical apriori algoritm, and applying the apriori property to each transaction in the transactions database, we get the same results. We use a simulation study to compare the performances of the classical to the joinless algorithm under varying conditions and draw the following conclusions: (1) the joinless algorithm offers better space management; (2) the joinless apriori algorithm is faster for small, but slower for large, average transaction widths. We analyze the two algorithms to determine factors responsible for their relative performances. The new approach is demonstrated with an application to web mining of navigation sequences.

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Paper citation in several formats:

L. Nkweteyim, D. and C. Hirtle, S. (2005). A New Joinless Apriori Algorithm for Mining Association Rules. In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS; ISBN 972-8865-28-7, SciTePress, pages 234-243. DOI: 10.5220/0002577802340243

@conference{pris05,
author={Denis {L. Nkweteyim}. and Stephen {C. Hirtle}.},
title={A New Joinless Apriori Algorithm for Mining Association Rules},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS},
year={2005},
pages={234-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002577802340243},
isbn={972-8865-28-7},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS
TI - A New Joinless Apriori Algorithm for Mining Association Rules
SN - 972-8865-28-7
AU - L. Nkweteyim, D.
AU - C. Hirtle, S.
PY - 2005
SP - 234
EP - 243
DO - 10.5220/0002577802340243
PB - SciTePress