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The association rules mining process enables the end users to analyze, understand, and use the extracted knowledge in an intelligent system or to support the decision-making processes. To find valuable association rules from a large number of redundant rules, this paper proposes a deeper mining process, multi-mode and high value association rules mining (MH-ARM). This method takes into account the...
In recent years, wavelet-based scalable video coding has made a considerable progress, but there are still several problems in the development of WSVC. Such as quantization error accumulation resulted from the open-loop structure of MCTF in coding and the poor error resilient performance of the bit stream. The major goal of this paper is to propose a new framework of scalable video coding based on...
In this paper, we propose a new wavelet video coding based on MCTF-WZ through introducing Wyner-Ziv coding, which is a new coding structure. Low and high frequency frames in temporal domain are encoded through the distinct coding manner, where the former is encoded by the BISK algorithm after spatial analysis. But the latter is encoded by two distinct ways according to the correlation between the...
This paper establishes the conceptual model on perception evaluation of tourism E-commerce website, frames a new investigation scale based on WEBQUAL scale and sets up following hypothesis: first, there is a significant difference between the expectation and actual perception (HI); The personal attribute has a significant influence on actual perception(H2);component dimensions of website quality system...
In densely deployed wireless sensor networks, spatial data correlations are introduced by the observations of multiple spatially proximal sensor nodes on a same phenomenon or event. These correlations bring significant potential advantages for the development of efficient strategies for reducing energy consumption. In this paper, spatial data correlations are exploited to group sensor nodes into clusters...
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