Association rules mining is a popular and well researched method in data mining research field , its purpose is to mine interesting relations between attributes in transaction database. Classic Apriori algorithm is on...
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Association rules mining is a popular and well researched method in data mining research field , its purpose is to mine interesting relations between attributes in transaction database. Classic Apriori algorithm is one of the most influential association rules in mining boolean frequent itemsets algorithms, However, it has some disadvantages such as inefficient in generating candidate itemsets and frequently scanning database, it is not suitable for mining multiple dimensional data model which rise in recent years. A “second cut” method is proposed, which is on the basis of the Apriori algorithm. The algorithm applies to multidimensional mining association rules, and to some extent improved the efficiency of the algorithm. Referring to the manufacturing resource planning system (MRP) features of the retail points, the article sets up the sales association analysis data model based on the above algorithm. It proves that it can increase the sales dramatically by applying this methodology to the real business environment.
In order to support mobile service of long-distance monitoring and controlling UPS based on Web, a kind of design and implementation solution of embedded UPS (EUPS) system is brought forward in this paper. The design ...
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A method was presented to implement the detecting and tracking of moving targets through omnidirec-tional vision. The method combined optical flow with particle filter arithmetic, in which optical flow field was used ...
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A method was presented to implement the detecting and tracking of moving targets through omnidirec-tional vision. The method combined optical flow with particle filter arithmetic, in which optical flow field was used to detect and locate moving targets and particle filter was used to track the detected moving objects. According to the circular image character of omnidirectional vision, the calculation equation of optical flow field and the tracking arithmetic of particle filter were improved based on the polar coordinates at the omnidirectional center. The edge of a randomly moving object could be detected by optical flow field and was surrounded by a reference region in the particle filter. A dynamic motion model was established to predict particle state. Histograms were used as the fea-tures in the reference region and candidate regions. The mutual information (MI) and Gaussian function were com-bined to calculate particle weights. Finally, the state of tracked object was computed by the total particle states with weights. Experiment results show that the proposed method could detect and track moving objects with better real-time performance and accuracy.
It is known to all that context-aware computing with uncertainty is an important part of pervasive computing for proactive service. Because multi-source evidence context-aware information with uncertainty is dynamic a...
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Gradient vector flow (GVF) has been one effective external force for active contours, but it is based on isotropic diffusion. The recently proposed NGVF external force just took into account the diffusion along normal...
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Erasure codes are used in many distributed applications. This paper applies Cauchy Reed-Solomon codes to P2P streaming systems which is different from classical Reed-Solomon codes. Due to churn in these systems, strea...
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The gradient vector flow (GVF) is an effective external force for active contours, but it's smoothness constraint doesn't take any image structure into account and the resulting diffusion equation is isotropic...
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Recent studies have found that adoption of structure similarity index (SSIM) was successful in reflecting human visual characteristic better compared with traditional PSNR metrics. However this method shows some defec...
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To save time, improve flexibility and guarantee accuracy of the navigation system of the mobile robots, a multifunction landmark and a new navigation algorithm are proposed in this paper. With the new algorithm and la...
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Considering there are many seismicity factors with information overlap, we apply a gray generating -A generating GM model which has higher precision to mine the potential law of these factors, and apply principal comp...
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