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In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data is projected from high-dimensional to low-dimensional,...
In this paper, using factor analysis to study the sources of China's financial risk, concluded that the major factor of the financial risks is macroeconomic risk, foreign investment risk, banking risk and the stock market risk; using BP artificial neural network model for the establishment of early warning and training and testing the sample data with it, and then prediction the state of the financial...
For the characteristics of wireless sensor networks, combined the knowledge discover theory of data mining and knowledge application theory of data fusion, to set a unique integrated information treatment model based on neural-network based aggregation. The model is effective on saving wireless sensor energy consumption, extends net life, and is applicable to a variety of wireless sensor networks.
The ultimate bearing capacity of single driven pile increases with time after pile installation, and it is of great importance to foundation design. Although various methods have been established to study this time-dependent ultimate bearing capacity of driven pile, they have different occasions for application, and the deduced results of them may differ greatly. In this paper, four typical types...
In recent years, Internet worms increasingly threaten the Internet hosts and service and polymorphic worms can evade signature-based intrusion detection systems. In this paper, we propose new methods to detect polymorphic worms based on semantic signature and data-mining. Our main contributions of this work are as follows: (1) we propose a worm attack model - the OSJUMP model. (2) Based on the attack...
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