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.

Printable Call for Papers

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
Citizen science for spatio-temporal data analysis
Important Deadlines

Paper submission: March 16th, 2018
Notification of Acceptance: April 8th, 2018
End of Early-bird Registration: May 6th, 2018
Camera Ready Submission: May 6th, 2018
ICCSA 2018 Conference: July 2nd-5th, 2018
Submissions

To submit a paper, please connect to the Submission site from the link available at the ICCSA 2018 web site. 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 The paper must deal with original and unpublished work, not submitted for publication elsewhere.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. Please pay attention, when submitting your contribution, to select the entry Advances in Spatio-Temporal Analytics (ST-Analytics) 2018 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, National Institute for Space Research, Brazil
João Moura Pires, Universidade Nova de Lisboa, Portugal
Karine Reis Ferreira, National Institute for Space Research, Brazil
Maribel Yasmina Santos, Universidade do Minho, Portugal
Programme Committee (Confirmed)

Ahmed Eldawy, University of California Riverside, USA
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, Portugal
Dimitris Kotzinos, University of Cergy-Pontoise, France
Marco Painho, Universidade Nova de Lisboa, Portugal
Michael Page, Emory University, USA
Miguel A. Manso Callejo, Universidad Politécnica de Madrid, Spain
Nuno Datia, Instituto Politécnico de Lisboa
Thales Sehn Körting, National Institute for Space Research, Brazil
Toshihiro Osaragi, Tokyo Institute of Technology, Japan
Organization

INPEUniversidade do Minho Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa