Name
Title | ||
|---|---|---|
On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database. |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.2991/jrnal.2015.2.2.2 | JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE |
Keywords | DocType | Volume |
Genetic Network Programming,Rule Based Clustering,Cluster Optimization | Journal | 2 |
Issue | ISSN | Citations |
2 | 2352-6386 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wirarama Wedashwara | 1 | 0 | 0.34 |
| Shingo Mabu | 2 | 493 | 77.00 |
| Masanao Obayashi | 3 | 198 | 26.10 |
| Takashi Kuremoto | 4 | 196 | 27.73 |