In this document we describe how to implement an algorithm that should run on the D4Science DataMiner service. DataMiner 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 at 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 or a user, 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.
How-to implement algorithms for DataMiner
Coro G;Panichi G
2016
Abstract
In this document we describe how to implement an algorithm that should run on the D4Science DataMiner service. DataMiner 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 at 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 or a user, 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.| File | Dimensione | Formato | |
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Descrizione: How-to implement algorithms for DataMiner
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