Abstract:
New Data Mining and Machine Learning services in Cloud Computing providers are giving users extremely comprehensive data analysis tools with all the benefits of this environment. Cloud Computing services for data mining publish descriptions and definitions in many formats that are often incompatible.
Functionally, describing complete Data Mining services is essential to maintain their usability and portability regardless of software/hardware support or cloud platform. This article aims to design a Data Mining service definition that allows a data mining workflow to be ported and deployed in different providers or even in a Market Place of ready-to-consume services.
This article presents a semantic scheme for the definition and description of complete Data Mining services, including provider management (price, authentication, SLA,…) and workflow definition as a service. It helps standardize and industrialize data mining services.
To test the scheme’s validity, Data Mining providers’ services and a full Random Forest algorithm service were described. A practical scenario that creates a deployment platform for Data Mining services to support the scheme shows the end user’s practical benefits.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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