∆-dataflow Networks for Event Stream Processing


We present a design of a new class of dataflow-like networks suitable for detecting complex conditions in systems in which parameters change rapidly. Such networks are helpful for detecting conditions that signal threats or opportunities in areas such as logistics, finance, and public health. Examples of such applications are detection of money laundering… (More)


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