发明名称 |
LOCALIZED ANOMALY DETECTION USING CONTEXTUAL SIGNALS |
摘要 |
An expected value of a measurement in a first context is inferred based at least partly on a contextual signal. The contextual signal may comprise an actual value that is: (i) of a same type as the expected value, and (ii) associated with a second context that is different from the first context (e.g., the contexts can comprise geographical areas), or the contextual signal may comprise an actual value that is: (i) of a different type than a type of the expected value, and (ii) associated with the first context, or a second context that is different from the first context. If a difference between the expected value and an actual value of the first context is greater than a threshold difference, this condition is considered an anomaly. A detected anomaly may be used to determine an event that may be significant or otherwise of interest to a user community. |
申请公布号 |
WO2017048585(A1) |
申请公布日期 |
2017.03.23 |
申请号 |
WO2016US50841 |
申请日期 |
2016.09.09 |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
KRUMM, John Charles;HORVITZ, Eric Joel;WOLK, Jessica Kristan |
分类号 |
G06Q10/00 |
主分类号 |
G06Q10/00 |
代理机构 |
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