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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...
To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization (PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm.
To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access, an efficient document query optimization approach based on memetic algorithm (MA) is proposed. Experimental results show that the proposed algorithm can improve the precision of document retrieval compared with other conventional query optimization algorithm.
Qos multicast routing is of great importance for many multimedia communication applications such as videos conference, remote education, CSCW and so on. In order to effectively resolve Qos multicast routing, this paper mainly focus on the bandwidth-delay-constrained least-cost multicast routing problem, and present a memetic algorithm(MA) to deal with this problem. The experimental results show that...
To efficiently deal with Web document classification problem, a novel document classification algorithm based on shuffled frog leaping (SFL) algorithm is proposed in this paper. The SFL algorithm combines the benefits of the genetic-based memetic algorithms and the social behavior-based particle swarm optimization algorithms. The experimental results indicate that the proposed SFL algorithm yields...
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