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Algorithm Eclat is a classical algorithm for mining frequent itemsets, which is based on vertical layout databases. It is greatly different from those algorithms based on horizontal layout databases, such as algorithm Apriori and FP-Growth. In order to improve the efficiency of mining frequent itemsets from massive datasets, parallel algorithm MREclat based on Map/Reduce framework is presented. The...
Generalization capability is a key flag to evaluate the performance of a learning system. Neural network ensemble can greatly improve the generalization capability of a learning system by training many neural networks and composing the result of them. In this paper, based on the theory of neural network ensemble, we present a constructive algorithm to improve the generalization capability of coverage-based...
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