Vertical Fragmentation for Database Using FPClose Algorithm

##plugins.themes.bootstrap3.article.sidebar##

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.

##plugins.themes.bootstrap3.article.main##

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.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

##plugins.themes.bootstrap3.article.details##

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.