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One step in the right direction is Healthdata.gov, a free resource of public health data and tools that can help innovators quickly bring to market data-driven applications and services.
It was designed to hide the complexity of the programming and to facilitate the development process of data-driven applications.
Many data-driven applications perform computations on large volumes of data that do not fit on a single computer.
Biweekly project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
A smartwatch packed with sensors designed to provide body monitoring information could enable many fascinating new data-driven applications, from fitness tracking to mood-linked music commanded by your heartbeat.
RISELab beings to bear our desire to apply real-time, secure machine learning to data-driven applications in these industrial domains.
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In this paper we propose COStream, a programming language based on synchronous data flow execution model for data-driven application.
In Dynamic Data-Driven Application Systems, applications must dynamically adapt their behavior in response to objectives and conditions that change while deployed.
We consider steering of Dynamic Data-Driven Application Systems from two sources, firstly from dynamic data and secondly via human intervention to change parameters of the system.
Dynamic Data-Driven Application Systems DDDAS appear as a new paradigm in the field of applied sciences and engineering, and in particular in Simulation-based Engineering Sciences.
These scenes are relatively easy to construct with such sensors, and could be used in many interesting data- driven applications.
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