| Autor: |
José Leandro González González, Omar Mar Cornelio |
| Jazyk: |
Spanish; Castilian |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
Revista Cubana de Ingeniería, Vol 4, Iss 2, Pp 37-42 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
2223-1781 |
| DOI: |
10.1234/rci.v4i2.158 |
| Popis: |
The extraction of knowledge is the basis for decision making in various processes, data mining beingan area of fundamental knowledge to attain that end. Among the processes used today are ArtificialIntelligence and Statistical Analysis techniques implemented by Association, Clustering, classificationthat are developed using stochastic methods, heuristics, neural networks. However analysis to biologicalproblems give temporary solutions representing low degree of generalization. This research describesa solution to the problem created incident on the classification technique based on the creation of agenetic programming algorithm for generating rules proposing four stages in its implementation whichpasses from initiation, through the evolution of as individuals, stock assessment to completion. It alsovalidates the efficiency of the algorithm making a comparative analysis of the solutions Pgirla LogenProand demonstrating the efficiency of the proposal. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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