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Because of data uncertainty and time and space limitations in clustering process, clustering uncertain data stream becomes a very challenging task. A lot of processing algorithms has been proposed continuously. This paper reviews clustering algorithms of uncertain data stream and dissects the advantages and disadvantages of these algorithms for future development.
In this paper, a multiple generalized NARMA-L2 model is proposed for the identification and control of discrete nonlinear systems. It provides a global input-output representation for nonlinear systems by making use of the good local approximation property of NARMA-L2 model without encountering the curse of dimensionality problem. With the identified model, the control problem is then transformed...
In recent years, data dissemination privacy protection issues received extensive attention. A variety of privacy preserving anonymity models and technology, such as generalization, anatomy and slicing have been proposed. We present a new technique - overlapping slicing, it handles data attributes mainly based on the idea of fuzzy clustering. And we present a linear algorithm of processing data with...
With the growing popularity of 3G-powered devices and their serious energy consumption problem, there are growing demands on energy-efficient data transmission strategies for various embedded systems. Different from the past work in energy-efficient real-time task scheduling, we explore strategies to maximize the amount of data transmitted by a 3G module under a given battery capacity. In particular,...
This paper gives the model of the decision support system based on data mining and web technology. The structure of the decision support system has been improved. And the paper studies features of each module of the new system. The system makes use of the technology of the data warehouse and data mining to improve the decision-making ability, and uses Web technology to improve the efficiency of the...
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