Difference between revisions of "DataMiner Manager"
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[[Image:DataMinerManager1.png|thumb|center|800px|DataMiner Manager, portlet. Main interface.]] | [[Image:DataMinerManager1.png|thumb|center|800px|DataMiner Manager, portlet. Main interface.]] | ||
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+ | == DataSpace == | ||
+ | [[Image:DataMinerManager_DataSpace1.png|thumb|center|800px|DataMiner Manager, portlet. DataSpace.]] | ||
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+ | == Execute an Experiment == | ||
+ | [[Image:DataMinerManager_Experiment1.png|thumb|center|800px|DataMiner Manager, portlet. Execute an Experiment.]] | ||
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+ | == Check the Computations == | ||
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+ | [[Image:DataMinerManager_Computations1.png|thumb|center|800px|DataMiner Manager, portlet. Check the Computations.]] | ||
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+ | [[Image:DataMinerManager_Computations2.png|thumb|center|800px|DataMiner Manager, portlet. Show the Computation.]] | ||
Revision as of 16:12, 11 July 2016
In this guide we describe the DataMiner Manager web interface.
Overview
DataMiner Manger is a cross-usage service that provides users and services with tools for performing data mining operations. Specifically, it offers a unique access to perform data mining and statistical operations on heterogeneous data, which may reside either on the client side, in the form of comma-separated values files, or be remotely hosted, possibly in a database. The DataMiner service is able to take inputs and execute the operation requested by a client by invoking the most suited computational facility from a set of available computational resources. Executions can run either on multi-core machines or on different computational platforms, such as D4Science and other different private and commercial Cloud providers.