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Combining predictions from multiple sources or models has been shown to be a useful technique in data mining. For example, in network anomaly detection, multiple detectors' output have to be combined to obtain the diagnostic decisions. Unfortunately, as data are generated at an increasingly high speed, existing prediction aggregation methods are facing new(More)
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