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The goal of Frequent Item set Mining (FIM) is to find the biggest number of frequently used subsets from a big transaction database. In previous studies, using the advantage of multicore computing, the execution time of an Apriori algorithm was sharply decreased: when the size of a data set was more than TBs and a single host had been unable to afford a large number of operations by using a number...
The introduction of multi-core architectures generates a higher demand for parallelism in order to fully exploit the potential of modern computers. It is of vital importance that a compiler can allocate parallel workload in a cost-aware manner in order to achieve optimal performance on a multi-core architecture. This paper presents an adaptive OpenMP-based mechanism capable of generating a reasonable...
Most of the existing Content Based Image Retrieval algorithms are implemented in spatial domain. In order to save the time in images decompression, a novel image retrieval based on DCT dominant color and texture features in compressed domain is proposed. The mean value and variance of the DCT coefficients in DCT sub-blocks are used to describe image features. The mean values of those DCT sub-blocks...
Negotiation is one of agent's key social abilities and an effective approach for multi-agent systems to achieve their targets. For efficiency concern, negotiation should occur among only those with target-related expertise and it should be concurrent. This paper presents a self-organizing concurrent negotiation model which allows an agent to identify those with related expertise via consensus before...
According to the characteristics of traditional Chinese medicine clinical cases, in this paper, we propose an automatic generation algorithm of extraction patterns, GEPTCMA, which is based on bootstrapping. The algorithm includes two models: TCM-RPAM and TCMW-MODEL. TCM-RPAM is a method for the acquisition of bi relations and bi relation patterns; TCMW-MODEL is used for acquiring the sets of the domain...
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