First International Workshop on Data Science for Internet of Things at IEEE MASS 2016
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First International Workshop on Data Science for Internet of Things at IEEE MASS 2016
The Workshop on Data Science for Internet of Things at IEEE MASS 2016 will address techniques used for data management planning into IoT scenarios in order to optimize data acquisition, management and later discovery.
Data science is an interdisciplinary field that involves techniques to acquire, store, analyze, manage and publish data. For example, data can be analyzed using machine learning, data analysis and statistics, optimizing processes and maximizing their power in larger scenarios.
In the Internet of Things (IoT), smartphones and household appliances can easily become sensor node and compose sensor networks, measuring environmental parameters and generating user interaction data. As sensor networks are mainly data-oriented networks, i.e., sensed data is their most valuable asset and the reason for the operation of the whole network, data science techniques have been adopted to improve the IoT in terms of data throughput, self-optimization and self-management. In fact, incorporating the lifecycle proposed by the data scientists will impact the future of the IoT, allowing researchers to reproduce scenarios, and optimize the acquisition, analysis and visualization of the data acquired by IoT devices.
The Workshop on Data Science for Internet of Things at IEEE MASS 2016 will address techniques used for data management planning into IoT scenarios in order to optimize data acquisition, management and later discovery.
Topics (detailed list on the web):
Data Collection, Data Analysis, Data Management Solutions, Reproducibility of IoT Scenarios, Autonomous IoT, Data Management Planning Use Cases.
Steering Committee
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Pedro Luiz Pizzigatti Corrêa (Universidade Estadual de São Paulo, Brazil)
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Boris Bellalta (Dept. Information and Communication Technologies, Universitat Pompeu Fabra, Spain)
Programm Committee
- Ruizhi Liao (Oxford Brookes University, Great Britain)
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Cristina Cano (Trinity College Dublin, Ireland)
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Alessandro Checco (University of Sheffield, Great Britain)
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Antonio Loureiro (Universidade Federal de Minas Gerais, Brazil)
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Elena Gaura (Coventry University, Great Britain)
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Luiz Fernando Bittencourt (Universidade Estadual de Campinas, Brazil)
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Liansheng Tan (Central China Normal University, China)
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Juan José Murillo Fuentes (Universidad de Sevilla, Spain)
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Amy Lynn Murphy (Bruno Kessler Foundation, Italy)
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Vanesa Daza (Dept. Information and Communication Technologies, Universitat Pompeu Fabra, Spain)