Title
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases
Abstract
•A decision support algorithm for record clustering in databases is proposed.•Capacity limitation problem is introduced to make a general clustering application.•Rule extraction from datasets is realized by the proposed evolutionary algorithm.•Rule clustering considering capacity limitation is solved by knapsack problem.•The simulations of record clustering show some advantages of the proposed method.
Year
DOI
Venue
2016
10.1016/j.eswa.2015.10.006
Expert Systems with Applications
Keywords
Field
DocType
Genetic network programming,Database clustering,Knapsack problem,Record clustering
Fuzzy clustering,Data mining,Canopy clustering algorithm,CURE data clustering algorithm,Data stream clustering,Correlation clustering,Computer science,Constrained clustering,Artificial intelligence,Knapsack problem,Cluster analysis,Machine learning
Journal
Volume
Issue
ISSN
46
C
0957-4174
Citations 
PageRank 
References 
5
0.48
11
Authors
4
Name
Order
Citations
PageRank
wirarama wedashwara150.82
Shingo Mabu249377.00
Masanao Obayashi319826.10
Takashi Kuremoto419627.73