Computation platform agnostic data classification workflows

Various embodiments include a classification platform system. A user can define a classification experiment on the classification platform system. For example, the user can define an input data space by selecting at least one of data sources interfaced with the classification platform system and def...

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Bibliographische Detailangaben
Hauptverfasser: Gupta, Ashish, Piechowicz, Szymon, Liu, Annie Hsin-Wen, Naveh, Barak Reuven
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Various embodiments include a classification platform system. A user can define a classification experiment on the classification platform system. For example, the user can define an input data space by selecting at least one of data sources interfaced with the classification platform system and defining a workflow configuration including a directed graph (DG) connecting a plurality of transformation blocks to represent an experiment workflow. The DG can specify how one or more outputs of each of the transformation blocks are fed into one or more other transformation blocks. The DG can be executed by various types of computation platforms. The classification platform system can schedule the experiment workflow to be executed on a distributed computation platform according to the input data space and the workflow configuration.