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Firstly, in this paper we propose an improved immune algorithm, that is, introduce the Metropolis criterion into the selection operation of immune algorithm, and the Metropolis immune algorithm (MIA) is formed, then we carry out the theoretical analysis and experimental simulation aiming at the performance of the MIA; secondly, we use this algorithm to excavate association rules, and propose a new...
Association rules mining is an important problem of data mining, in this paper we propose a association rules mining algorithm based on the simulated annealing immune programming algorithm which combines each character of the simulated annealing algorithm and immune programming algorithm. Through the theoretical analysis and the experiment we can find that this algorithm has better robustness and...
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