Authors
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Corresponding Author
Wirarama Wedashwara
Available Online 1 September 2015.
DOI
https://doi.org/10.2991/jrnal.2015.2.2.2
Keywords
Genetic Network Programming, Rule Based Clustering, Cluster Optimization
Abstract
This research proposes a decision support system of database cluster optimization
using genetic network programming (GNP) with on-line rule based clustering.
GNP optimizes cluster quality by reanalyzing weak points of each cluster
and maintaining rules stored in each cluster. The maintenance of rules
includes: 1) adding new relevant rules; 2) moving rules between clusters;
and 3) removing irrelevant rules. The simulations focus on optimizing cluster
quality response against several unbalanced data growth to the data-set
that is working with storage rules. The simulation results of the proposed
method show its priority comparing to GNP rule based clustering without
on-line optimization.
Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).