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With the rapid development of science and technology and the growing popularity of computer networks, the scale of network users is gradually expanding, and the behavior of network users is becoming more and more complicated. A large number of studies show that the user's actual interest is closely related to the browsing behavior on the web page. Through the user browsing behavior analysis can obtain...
PLS is widely used in the quality control process system, but it has poor capability in some strong local nonlinear system for fault diagnosis. To enhance the monitoring ability of such type fault, a novel statistical model based on global plus local projection to latent structures (GPLPLS) is proposed. Firstly, the characteristics and nature of quality-related global and local partial least squares...
It is challenge to design an efficient summary data structure and an online approximation algorithms to limit the memory usage and the scan times in streaming data mining. In this paper, we present a CST(compressed suffix tree) structure to store arriving itemsets in the SC model. Then, our MFISW (mining frequent itemsets in sliding window) algorithm with the top-down traversal strategy can only scan...
In an increasingly competitive market, the management of client relationship is becoming a key point for a enterprise to get a success in the competition, client subdivision is a foundation for the enterprise to make a precise marketing strategy and a successful management of client group, based on the development of data mining technology, a fuzzy-C-means(FCM) algorithm model is founded to do the...
An improved adaptive generalized morphological filter is proposed in this paper. With respect to the different types of interference possibly encountered in power system signal, detailed investigations are carried out through numerical simulation, regarding the impacts of the amplitude and width of a structure element on the performance of the improved adaptive generalized morphological filter. With...
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