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Intrusion detection techniques have been extensively used as a protective measure against network attacks. Machine learning (ML) has been widely recognized as an effective method for data based intrusion detection analysis. Especially, semi-supervised ML approaches apply both labelled and unlabelled data to train the detection model, which can avoid the high cost of labelling data. In this paper,...
The paper selects the panel data of 14 leading banks in Chinese banking market in 1996-2007 periods and makes analyzes of the impact of foreign financial institution entry on the efficiency of Chinese banking industry. And the result shows that the X-efficiency of Chinese commercial bank is continuously upgrading and the efficiency of banks with foreign strategic investors is higher than that without...
In this paper, a modeling method for the data analysis solution is presented and the enterprise level of the data warehousing problem is introduced. The method includes the processes of the requirement elicitation, analysis stage and the initial design of the data warehouse. The extended operation model which can satisfy the need of the data warehouse is also presented in this paper because that it...
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