This workshop will be hosted by the the 15th AGILE International Conference. It would be a framework for collaboration between researchers/ industrialists in order to share their practices in the field of complex data mining for geoapplications. For instance, complex data in a geospatial context may be non-structured data such as web data about location. In many fields, such as geodatabases, geographical web semantic, and of course in GIS, the amount of available data grows larger every day. Therefore, this often leads us to handle data (i) from multiple sources such as sensors, or web research and survey; (ii) representing the same information (location, territory, land) at different dates (periods of time); (iii) grouping information from different types (images, texts, coordinates, shapes,...) or of different natures (web, ontology, text mining,...), etc.
In the geospatial context, the complexity may concern the processes (data acquisition, data structuring, knowledge discovery) or the data theirselves (lack of information, uncertain data, serial data, etc.). Therefore, complex data mining in a geospatial context should structure complex data before extracting geopatterns. The consideration of the data mining step from the preprocessing to the utility of the extracted geopatterns is one of the workshop goals.


Potential participants are invited to submit extended abstracts (around 1000 words) written in English and addressing some of the above mentioned topics. Abstracts will be reviewed and some will be selected for a paper presentation during the workshop. Abstracts may present either a finished work, a work in progress, or a reasoning about complex data mining in a geospatial context. Discussions about work made across disciplines are also welcome. Contributions are welcomed both from senior researchers and PhD students. The abstracts and the presentations will be published online.

Topics of interest include (but are not limited to):

  • Complex geodata preprocessing and structuring
  • Spatiotemporal data mining methods and processes
  • Clustering, learning and merging of multi-sources and distributed data in geoapplications
  • Experiment feedback from knowledge data discovery from complex data in a geospatial context
  • Uncertain spatial data mining


The workshop will take place at: Université d'Avignon et des Pays du Vaucluse 74, rue Louis pasteur, (F) 84029 AVIGNON cedex 1, FRANCE