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PRECOMPUTED SIMILARITY INDEX OF FILES IN DATA PROTECTION SYSTEMS WITH NEURAL NETWORK
PRECOMPUTED SIMILARITY INDEX OF FILES IN DATA PROTECTION SYSTEMS WITH NEURAL NETWORK
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机译:具有神经网络数据保护系统中文件中文件的预先计算的相似性索引
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摘要
Described is a system and method that provides a data protection risk assessment for the overall functioning of a backup and recovery system. Accordingly, the system may provide a single overall risk assessment score that provide an operator with an “at-a-glance” overview of the entire system. Moreover, the system may account for changes that occur over time based on leveraging statistical methods to automatically generate assessment scores for various components (e.g. application, server, network, load, etc.). In order to determine a risk assessment score, the system may utilize a predictive model based on historical data. Accordingly, residual values for newly observed data may be determined using the predictive model and the system may identify potentially anomalous or high risk indicators.
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