Vertical Fragmentation for Database Using FPClose Algorithm

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Published 10-05-2019
DOI https://doi.org/10.26735/16587790.2019.005

How to Cite

[1]
A. S. Al-Shannaq and S. Almotairi, “Vertical Fragmentation for Database Using FPClose Algorithm”, JISCR, vol. 2, no. 1, pp. 110-115, May 2019.

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Arwa S. Al-Shannaq
Computer Science Department, Faculty of Computing and Information Technology, King Abdul-Aziz University, Jeddah, Saudi Arabia.
Sultan Almotairi
Department of Natural and Applied Sciences, Community College, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.

Abstract

Vertical fragmentation technique is used to enhance the performance of database system and reduce the number of
access to irrelevant instances by splitting a table or relation into different fragments vertically. The partitioning design can
be derived using FPClose algorithm, which is a data mining algorithm used to extract the frequent closed itemsets in a
dataset. A new design approach is implemented to perform fragmentation. A benchmark with different minimum support
levels is tested. The obtained results from FPClose algorithm are compared with the Apriori algorithm.

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Issue
Vol. 2 No. 1 (2019)
Section
Original Research articles
Copyright Information
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.