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Safety-oriented visualization is one of significant approaches to gain insights from time-spatial data while neural net currently serves as a decent way to perform machine learning in data mining industry. This paper proposes a visual analytics pipeline for trajectory data enabling better understanding movements pattern of people using Neural Network as back-end and other visualization techniques...
The mode that people consume on the shopping website gets more and more popular, it contributes the economic value in modern society. But it carries a series of problems to the consumers, such that the users can choose the expected product hardly. The paper mainly presents the fuzzy theory to deal with the users' behaviour data, and the trade comment text data is mainly classified by semantic quantitative...
This paper presents a novel approach for constructing symmetric compactly supported biorthogonal multiwavelets with short sequences. Starting from the symmetric properties of scaling and wavelet functions, parameterized symmetric forms of the polyphase matrices can be derived, which greatly simplify the construction problem of compactly supported biorthogonal multiwavelets. Moreover, according to...
Gap analysis (GA) is one of the most popular techniques which has been widely used to help businesses make service quality improvement decisions to improve customer satisfaction. However, an assumption of linear relationship between attribute performance and customer satisfaction underlies the application of GA and was challenged while comparing with the Kano's two-dimensional model which indicated...
It is well-known that there are bursty accesses in network traffic. It means a burst of packets with the same meaningful headers are usually received by routers at the same time. With such traffic, routers usually perform the same computations and access the same memory location repeatedly. To utilize this characteristic of network traffic, many cache schemes are proposed to deal with the bursty access...
Most existing duration modeling approaches facilitates phone recognizer and require manually annotated corpus to train the segmentation models, which is usually cost- and time-consuming. In this paper, a novel duration modeling approach is proposed, which does not require phone recognizer/annotated training data, and facilitates fast computation of language identification. In this approach, the segmentation...
College life is quite different from that of middle school. Most students cannot adjust well to it differently after entering. It is responsible for not only professional moral tutors but also teachers to help undergraduates to adapt themselves to undergraduate courses and life. To have a correct attitude towards classroom education management and do well in it is crucial to improve the professional...
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