Third International Workshop in Big Mobility Data Analytics

BMDA 2020


Computer Networks & Wireless Communication



BMDA 2020 Call for papers
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3rd International Workshop on Big Mobility Data Analytics (BMDA)
co-located with EDBT/ICDT Conference, March 30 – April 2, 2020 – Copenhagen, Denmark
http://www.datastories.org/bmda20
* Selected accepted papers will be considered for a special issue at Geoinformatica journal *
Workshop Description
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From spatial to spatio-temporal and, then, to mobility data. So, what’s next? it is the rise of mobility-aware integrated Big Data analytics. The Big Mobility Data Analytics (BMDA) workshop, initiated in 2018 with EDBT Conference, aims at bringing together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of "mobility". The workshop will foster the exchange of new ideas on multidisciplinary real-world problems, discussion on proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, covering all layers of the Big Data Value Analytics (BDVA) reference model, namely data management, data processing, data analytics, and data visualization and user interaction. The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc.
Multiple fields of data analytics relate to the objectives of this workshop, including, but not limited to:
- Fundamentals of mobility data analytics
- Big data platforms for mobility data analytics
- Parallel / streaming data processing for mobility analytics
- Predictive analytics using mobility data
- Complex event detection for moving objects
- Visual analytics on big mobility data
- Mobility-as-a-Service
- Interactive traffic analysis with GPS data
- Urban / maritime / aviation traffic flow forecasting
- Urban / maritime / aviation travel time prediction
- Integration / interlinking of mobility with societal data
- Geosocial networks
- Philosophical / ethical / privacy issues on mobility data analytics
Paper Submission Procedure, Workshop Proceedings, Journal special section
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We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or submitted to a journal or a conference with proceedings. Submitted papers can be of two types:
- Regular Research Papers: these papers should report original research results or significant case studies. They should be 5000-8000 words (at most 8 pages) long.
- Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages long.
Submissions should be formatted using the EDBT/ICDT 2020 camera-ready template and submitted through the workshop’s submission system at EasyChair [https://easychair.org/conferences/?conf=bmda20].
Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR [http://ceur-ws.org/]. All submitted papers will be peer reviewed by at least three reviewers. If accepted, at least one of the authors must attend the workshop to present the work.
As with the previous BMDA editions, selected accepted papers will be considered for a special issue of Geoinformatica.
Important dates
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- Paper Submission: December 8, 2019 (11:59PM PDT)
- Notification of Acceptance: January 15, 2019
- Camera Ready Paper Due: January 29, 2019
- Workshop date: March 30, 2020
Organization and Support
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Workshop organizers:
- Nikos Pelekis, University of Piraeus, Greece
- Chiara Renso, ISTI-CNR Pisa, Italy
- Yannis Theodoridis, University of Piraeus & Athena RIC
- Karine Zeitouni, University of Versailles Saint-Quentin, France
Supported by:
- EU H2020 project Track & Know “Big Data for Mobility Tracking Knowledge Extraction in Urban Areas”
- EU H2020 project MASTER “Multiple Aspects Trajectory Management and Analysis”