DS-IoT 2017 - 2nd International Workshop on Data Science for Internet of Things

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 nodes 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.
This workshop will address techniques used for data management planning into
IoT scenarios to optimize data acquisition, management, and later discovery.
Topics of the workshop
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- Data collection
--- Prediction-based data reduction in the IoT
--- Data-based sensor failure techniques
--- Data-based error detection techniques
- Data management solutions
--- Standards for IoT data discovery
--- IoT data publication
--- Integrating IoT data with external data sources
--- Privacy and security in the IoT data sharing
- Data analysis
--- Statistical, machine learning and artificial intelligence techniques for
energy and computationally constrained devices
--- Methods and standards for assessing IoT data quality
--- Strategies for IoT data visualization
- Reproducibility of IoT scenarios
--- Long-lived IoT data storage
--- IoT data integrity standards
--- IoT data discovery standards
--- IoT data description (metadata)
--- Data-centric simulations of the IoT
--- Tests reproducibility for IoT scenarios
- Autonomous IoT
--- Autonomic architectures for IoT
--- Management of IoT devices based on data knowledge
--- IoT-optimization using external information
- Data management planning use cases
--- Data science in smart cities
--- Data science in smart environments
--- Data science for wearable devices
Manuscript submissions
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Papers must be submitted via EDAS in the following link: http://edas.info/N23774
Submitted papers should be written in the English language, with a maximum page
limit of 6 printed pages, including all the figures, references, and appendices,
and not published or under review elsewhere. All DS-IoT 2017 presented papers
will be published in the conference proceedings and submitted to IEEE Xplore.
Authors of the best technical contributions will be invited to submit an
extended version of their paper to EAI Endorsed Transactions on Internet of
Things.
Important Dates
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Submission deadline: July 5, 2017
Notification of acceptance: July 26, 2017
Camera-ready version: August 2, 2017
Workshop date: October 22, 2017
Executive Committees
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General Chairs
- Gabriel Martins Dias (Semantix, Brazil)
- Pedro Luiz Pizzigatti Corrêa (Universidade de São Paulo, Brazil)
- Boris Bellalta (Universitat Pompeu Fabra, Spain)
Technical Program Committee
- Ruizhi Liao (The Chinese University of Hong Kong, China)
- Cintia Borges Margi (Universidade de São Paulo, Brazil)
- Antonio Loureiro (Universidade Federal de Minas Gerais, Brazil)
- Elena Gaura (Coventry University, Great Britain)
- Luiz Fernando Bittencourt (Universidade Estadual de Campinas, Brazil)
- Juan José Murillo Fuentes (Universidad de Sevilla, Spain)
- Vanesa Daza (Universitat Pompeu Fabra, Spain)
- Sergio Barrachina (Universitat Pompeu Fabra, Spain)
- Francesc Wilhelmi (Universitat Pompeu Fabra, Spain)
- Maddalena Nurchis (Universitat Pompeu Fabra, Spain)
- Anders Jonsson (Universitat Pompeu Fabra, Spain)
- Mike Frame (United States Geological Survey and University of Tennessee, USA)
- Suzie Allard (University of Tennessee, USA)
- Giri Prakash (Oak Ridge National Laboratory, USA)
- Bruno Pazetti (Semantix, Brazil)
- Christopher Padua (Semantix, Brazil)