Name
Abstract | ||
|---|---|---|
Recent years, data mining techniques have been developed for extracting rules from big data. However, there are some problems to be considered, for example, it is difficult to judge which rules are important and which are not important; and even in simple classification problems with the small number of classes, a various sub-patterns to be considered potentially exist in each class. To solve the above problems, a rule clustering algorithm using multi-objective genetic algorithm is proposed. |
Year | Venue | Field |
|---|---|---|
2017 | JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | Data mining,Rule-based system,Computer science,Genetic algorithm |
DocType | Volume | Issue |
Journal | 4 | 3 |
ISSN | Citations | PageRank |
2352-6386 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shingo Mabu | 1 | 493 | 77.00 |
| Kenzoh Azakami | 2 | 0 | 0.34 |
| Masanao Obayashi | 3 | 198 | 26.10 |
| Takashi Kuremoto | 4 | 196 | 27.73 |