Abstract

Finding structure in multiple streams of data is an important problem. Consider the streams of data flowing from a robot’s sen- sors, the monitors in an intensive care unit, or periodic measurements of various indica- tors of the health of the economy. There is clearly utility in determining how current and past values in those streams are related to future values. We formulate the prob- lem of finding structure in multiple streams of categorical data as search over the space of dependenceies, unexpectedly frequent or Internal data in parentheses Word fragments No spaces Figure 2 A PostScript document and the text extracted from it a /show { print } def Findingstructureinmultiplestreamsofdataisanimportant problem.Considerthestreamsofdata§owingfromarobot' ssensors,themonitorsinanintensivecareunit,orperiodi cmeasurementsofvariousindicatorsofthehealthofthee conomy.Thereisclearlyutilityindetermininghowcurrenta ndpastvaluesinthosestreamsarerelatedtofuturevalues b /show { print ( ) print } def Finding structure in m ultiple streams of data is an imp ortan t problem. Consider the streams of data §o wing from a rob ot's sensors, the monitors in an in tensiv e care unit, or p erio dic measuremen ts of v arious indicators of the health of the econom y . There is clearly utilit y in determining ho w curren t and past v alues in those streams are related to future v alues

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