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    • 1. 发明申请
    • STREAMING DATA DECISION-MAKING USING DISTRIBUTIONS WITH NOISE REDUCTION
    • 使用分布减少噪声的流式数据决策
    • WO2017214613A1
    • 2017-12-14
    • PCT/US2017/036971
    • 2017-06-12
    • NIGHTINGALE ANALYTICS, INC.
    • ADLAKHA, SachinO'NEILL, Daniel C.PHAM, Peter T.
    • G06F11/00
    • H04L41/147G06N5/02G06N5/043G06N7/005G06N20/00G06N20/10H04L41/22H04L43/08H04L43/16
    • An example method comprises receiving a first data stream regarding performance of a monitored system at a first time, determining a plurality of distributions from the first data stream using a density function of a plurality of bins for the data, identifying at least one state for each different distribution of the plurality of distributions to identify a plurality of states, classifying each of the plurality of states into classifications, identifying at least one of the plurality of states as being a problematic state using a first log likelihood ratio, for each state recognizing one or more transitions from or to other states of the plurality of states, receiving a second data stream of the monitored system at a second time, identifying a precursor state indicating at least a potential future transition to the problematic state, and generating a warning before the monitored system enters the problematic state.
    • 示例性方法包括:在第一时间接收关于被监视系统的性能的第一数据流;使用用于数据的多个仓的密度函数来确定来自第一数据流的多个分布 ,识别用于所述多个分布的每个不同分布的至少一个状态以识别多个状态,将所述多个状态中的每一个分类为分类,使用第一日志将所述多个状态中的至少一个识别为问题状态 对于识别从所述多个状态中的一个或多个到其他状态或到所述多个状态中的其他状态的一个或多个转变的每个状态,在第二时间接收所监视的系统的第二数据流,识别指示至少潜在地未来转变到所述问题 状态,并在被监控系统进入有问题状态之前生成警告。