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Recent years, society relies heavily on the network infrastructure and information system. Protecting these assets from frequently network attacks needs to deploy some distributed security systems. However the amount of data produced by many distributed security tools can be overwhelming. So it's very difficult and limited to get the most risky alert through manual process based on the huge network...
The complexity of today's networks and distributed systems makes the process of network monitoring difficult. The amount of data produced by many distributed security tools can be overwhelming. So it's very difficult and limited to get the most risky alert through manual process based on the huge network alerts with many attributes, such as asset, priority, reliability, risk, type et al. The common...
Predicting oil price movements is very important for investors. Fuzzy time series which combine people's subjective attitude and objective history values can help people to solve forecasting problems. It has been applied to many areas such as stock index, university enrollments, exchange rates and tourism forecasting. This paper brings fuzzy time series into short term crude oil price forecasting...
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