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Authors: Yasser El Sonbati and Rasha Kashef

Affiliation: Arab Academy for science & Technology, College of Comuputing and Information Technology, Egypt

Keyword(s): Data mining, Association rules, Incremental mining.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: Mining association rules is a well-studied problem, and several algorithms were presented for finding large itemsets. In this paper we present a new algorithm for incremental discovery of large itemsets in an increasing set of transactions. The proposed algorithm is based on partitioning the database and keeping a summary of local large itemsets for each partition based on the concept of negative border technique. A global summary for the whole database is also created to facilitate the fast updating of overall large itemsets. When adding a new set of transactions to the database, the algorithm uses these summaries instead of scanning the whole database, thus reducing the number of database scans. The results of applying the new algorithm showed that the new technique is quite efficient, and in many respects superior to other incremental algorithms like Fast Update Algorithm (FUP) and Update Large Itemsets (ULI).

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Paper citation in several formats:
El Sonbati, Y. and Kashef, R. (2004). NEW FAST ALGORITHM FOR INCREMENTAL MINING OF ASSOCIATION RULES. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 275-281. DOI: 10.5220/0002624102750281

@conference{iceis04,
author={Yasser {El Sonbati}. and Rasha Kashef.},
title={NEW FAST ALGORITHM FOR INCREMENTAL MINING OF ASSOCIATION RULES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2004},
pages={275-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002624102750281},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - NEW FAST ALGORITHM FOR INCREMENTAL MINING OF ASSOCIATION RULES
SN - 972-8865-00-7
IS - 2184-4992
AU - El Sonbati, Y.
AU - Kashef, R.
PY - 2004
SP - 275
EP - 281
DO - 10.5220/0002624102750281
PB - SciTePress

- Science and Technology Publications, Lda.
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