Data Science and Big Data Analytics in Smart Environments | Science Publishers
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Most applications generate large datasets like social networking and social influence programs smart cities applications smart house environments Cloud applications public web sites scientific experiments and simulations data warehouse monitoring platforms and e-government services. Data grows rapidly since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context major solutions for scalability mobility reliability fault tolerance and security are required to achieve high performance and to create a smart environment. Th…
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