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Classification rule mining has been a very active research topic in data mining and machine learning communities. To effectively cope with this problem, a novel classification rule mining algorithm is proposed by the combination of neighborhood preserving embedding (NPE) and genetic algorithm (GA) in this paper. Experimental results on the UCI data set repository demonstrate that the proposed algorithm...
By investigating historical data from customers of credit card in a commercial bank, this paper points out the possibility of use genetic algorithms in preventing credit card fraud and give support to bank in dealing with this kind of problem. We demonstrate through real case analysis that using the identification model of genetic algorithm generates ideal accuracy identification result. The results...
According to evolutionary principle, a new evolutionary optimization algorithm based on super-individual (SIEA) is presented. In the SIEA, the population is generated based on super-individual, and the complex process in genetic algorithm (GA) is not required. At last, several typical optimization problems including extremum, multivariable and NiH problem are used to test the efficiency of the SIEA...
In order to evaluating performance of listed companies comprehensively, this paper analyzes multi-index based on projection pursuit, and optimize the weight of financial indicators by Using RAGA (real coding based on accelerating genetic algorithm). This method succeeded in dynamic weighing, makes full use of data, obtains more reasonable and scientific comprehensive performance evaluation.
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