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Data sampling & analysis
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IBM's Deep Computing efforts draws on strong skill bases for sophisticated data
sampling, aggregation and analysis. DC methods can be applied to a broad range
of time series. Potential applications are predictions and error detections. DC
methods can be used to obtain approximations of the underlying statistical model.
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Resource usage profiling solutions developed at IBM Zurich Research Laboratory
are internally deployed in the Laboratory and with IBM Global Services in Vimercate
(Italy) and Hursley (UK).
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