Title | ||
---|---|---|
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases |
Abstract | ||
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•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 wedashwara | 1 | 5 | 0.82 |
Shingo Mabu | 2 | 493 | 77.00 |
Masanao Obayashi | 3 | 198 | 26.10 |
Takashi Kuremoto | 4 | 196 | 27.73 |