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INtegrated Big Data Platform with Machine Learning for infrastructure manaGEment and provisioNIng with multi SENSor Environments: INGENISENSE
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Internet of Things and Industrial Internet are growing and emerging rapidly. Many industries are deploying IoT devices and sensors to digitize their state of the art industrial processes. However, as an expected out-come, tremendous amount of data is gathered and should be analyzed by systems to create informative and productive results. Thus, Big Data is inseparable part of IoT revolution. The INGENISENSE project is aimed at building an IoT infrastructure with cloud based machine learning ca-pabilities for use in industrial applications. Specifically, INGENISENSE project aims to create a framework for developing smart sensors to easily operate with a cloud-based platform for Big Data infrastructure man-agement and provisioning Machine Learning applications as reusable assets. For instance, a predictive maintenance application for an industrial system will be deployed only with few clicks and redirecting IoT sensory data to endpoints of INGENISENSE. In the project of INGENISENSE, the following works will be performed.
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