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ST-Analytics 2017 : Advances in Spatio-Temporal Analytics

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Link: http://www.lac.inpe.br/ST-Analytics/
 
When Jul 3, 2017 - Jul 6, 2017
Where Trieste, Italy
Submission Deadline Apr 14, 2017
Notification Due Apr 28, 2017
Final Version Due May 15, 2017
Categories    analytics   spatio-temporal data   data mining   time series
 

Call For Papers

Call for Papers
Current technological developments allow the collection of huge amounts of spatio-temporal data that are usually stored and afterwards analyzed to support the decision-making process. Analytical tools, ranging from statistical packages to sophisticated data mining algorithms, allow the analysis of such data sets. This workshop will address the analytical methodologies, strategies or techniques that allow the analysis of complex data, namely spatio-temporal data, and the suitable visualization mechanisms that ensure an effective integration of this type of data in the decision-making process in organizations.

Topics of Interest
The workshop welcomes contributions in the area of analytics for spatio-temporal data, including:
• Algorithms for spatial and spatio-temporal data mining
• Analysis of spatio-temporal data and applications
• Visualization of spatio-temporal data and applications
• Spatio-temporal data warehousing and data management
• OLAP for spatial and spatio-temporal data sets
• Software, libraries and tools for spatio-temporal data representation, processing and understanding

Important Deadlines
Paper submission: April 14, 2017
Notification of Acceptance: April 28, 2017
Early-bird Registration: May 15, 2017
Camera Ready Submission: May 15, 2017
ICCSA 2017 Conference: July 3-6, 2017

Submissions
To submit a paper, please connect to the Submission site (http://ess.iccsa.org) at the ICCSA 2017 web site (http://www.iccsa.org). Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. The paper must deal with original and unpublished work, not submitted for publication elsewhere. All submissions will be reviewed by at least three experts in the relevant field. The submitted paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules. Please consult the formatting information and templates (http://www.iccsa.org/instructions-for-authors). Please pay attention, when submitting your contribution, to select the right entry (Advances in Spatio-Temporal Analytics - ST-Analytics 2017) in the listbox shown in the submission form.

Proceedings
Accepted and presented papers will be published as part of the conference proceedings by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) Series.

Committees

Organising Committee
Rafael Santos, Brazil
Karine Reis Ferreira, Brazil
Maribel Yasmina Santos, Portugal
João Moura Pires, Portugal

Program Committee
Adriano Moreira, Universidade do Minho, Portugal
Ana Paula Afonso, Universidade de Lisboa, Portugal
Armanda Rodrigues, Universidade Nova de Lisboa, Portugal
Bin Jiang, University of Gävle, Sweden
Bruno Martins, University of Lisbon, Portugal
Daniel Gonçalves, University of Lisbon
Dimitris Kotzinos, University of Cergy-Pontoise, France
Fernando Bação, Universidade Nova de Lisboa, Portugal
Gennady Andrienko, Fraunhofer Institute IAIS, Germany
Jérôme Gensel, Université Grenoble Alpes, France
João Moura Pires, Universidade Nova de Lisboa, Portugal
José Ramon Rios Viqueira, Universidade de Santiago de Compostela, Spain
Karine Reis Ferreira, National Institute for Space Research, Brazil
Marco Painho, Universidade Nova de Lisboa, Portugal
Maribel Yasmina Santos, Universidade do Minho, Portugal
Marinos Kavouras, National Technical University of Athens, Greece
Miguel A. Manso Callejo, Universidad Politécnica de Madrid, Spain
Miguel R. Luaces, Universidade da Coruña, Spain
Nuno Miguel Soares Datia, Instituto Superior de Engenharia de Lisboa, Portugal
Rafael Santos, National Institute for Space Research, Brazil
Roberto Henriques, Universidade Nova de Lisboa, Portugal
Seraphim Alvanides, Northumbria University, United Kingdom
Thales Sehn Körting, National Institute for Space Research, Brazil
Toshihiro Osaragi, Tokyo Institute of Technology, Japan

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