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A simulation model is often used as a proxy for the real system of interest in a decision-making process. However, no simulation model is totally representative of the reality. The impact of the model inadequacy on the prediction of system performance should be carefully assessed. We propose a new metamodeling approach to simultaneously characterize both the simulation model and its model inadequacy...
Emotion is an important catalyst which affects a customer in the process of buying service, it shows satisfaction of customers for goods and services, and changes the loyalty of customers to the enterprise in the future. Customer complaints often reflect the quality of service objectively and customer emotion. Therefore, the paper use customer complaints of information service enterprise for data...
Emotion is an important indicator of depressive conditions. Emotion recognition based on physiological signals such as electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) has gained significant attraction in healthcare domain research. Sharing of physiological signal data related to emotional response between different healthcare systems has the potential to benefit both laboratory-based...
It is critical of self-adaptive software system to monitor all kinds of information in real-time and obtain relevant data of the system to make the system can adjust automatically when necessary. In order to cope with the current market needs and rapidly changing environment, and combine the Web services with self-adaptive software systems perfectly, we proposed a monitoring and prediction model for...
In this paper, we study canonical correlation analysis (CCA), which is a powerful tool in multivariate data analysis for finding the correlation between two sets of multidimensional variables. The main contributions of the paper are: 1) to reveal the equivalent relationship between a recursive formula and a trace formula for the multiple CCA problem, 2) to obtain the explicit characterization for...
According to actual QAR data which can reflect flight safety, a new method of flight operation safety on event margin was proposed. And a model for event margin was established based on flight safety monitoring standard. By quantitative analysis event margin of parameters, it can be used to evaluate flight safety, and it can help to reconstruct operation morphology. Furthermore, it widens research...
In this thesis, we studied the theory of OLAM which combined data mining with On-Line Analytical Processing (OLAP). This thesis presents a kind of distributed data mining service architecture aiming to resolve the problems that appear widely in the current data mining tools, such as low level of resource sharing, functional coupling too closely, difficult to reuse software and so on. On the basis...
Coordination is a vital aspect of any type of interaction between computer agents in open distributed systems such as the Web. As distributed systems become more ubiquitous, autonomous and complex, the need to ground them on common data model grows stronger. In particular, Semantic Web services are based on synchronous message exchange, thus being incompatible with the REST architectural model of...
Most of the prefetch technologies used in the current cache service schemes did not consider systematically different issues such as the mobile clients' user preferences, Client/Server cooperation and global coordination. This paper presents an approach named Multiple Goals-Oriented Data Prefetching (MGODP) addressing the above problem. MGODP takes the user preferences into account to best satisfy...
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