EnGeoData 2016 : Environmental and Geo-spatial Data Analytics - Special Session, DSAA
Call For Papers
EnGeoData - Environmental and Geo-spatial Data Analytics
October 17-19, 2016
---- AIMS AND TOPICS
Environmental and more generally geo-spatial information is now provided by crowdsourcing but also by public administrations in the context of the open data policies. Analyses of such data are still challenging. Firstly because of their heterogeneity (structural, semantic, spatial and temporal), and secondly because of the difficulty in choosing the "best" knowledge discovery process to apply, according to the needs of the experts in the field. This special issue aims to provide high quality research covering all or part of the challenges mentioned above, from a theoretical or experimental point of view.
Challenge about data science deals with creation, storage, search, sharing, modeling, analysis, and visualization of data, information, and knowledge. In Data Science context, spatio-temporal aspects are crucial in order to manage and mine data, to index and retrieve information, and finally to discover and visualize knowledge. By taking into account these spatio-temporal aspects, original methods have to be proposed for processing real and complex data from different domains, e.g., environment, agriculture, health, urban, and so forth.
- Pre and Post Data processing
- Data Quality, and Result Evaluation
- Data Mining or Data Warehousing Applications
- Text-Mining or Information Retrieval
- Visual Analytics
- KDD real use-cases dedicated to environmental and geo-spatial Data
---- SUBMISSION WEBSITE
---- IMPORTANT DATES
Paper Submission deadline: 20 May, 2016, 11:59 PM PDT
Notification of acceptance: 15 July, 2016
Final Camera-ready papers due: 19 August, 2016
All accepted papers will be published by IEEE and included in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and publication in the special issues of some international journals, including International Journal of Data Science and Analytics.
Diana Inkpen, Unversity of Ottawa, Canada
Mathieu Roche, Cirad, TETIS & LIRMM, France
Maguelonne Teisseire, Irstea, TETIS & LIRMM, France