Data Mining in Climate change Impact, mitigation and Human behavior (DMCIH)
Co-located with ICDM 2019
November 8, 2019
Aims and Scope
Climate and above all climate change impact arises in a wide range of situations, places and human activities such as water management, coastline management, urban planning, public health, transportation or economy along with many others.
The purpose of the workshop is not to address methods and techniques for meteorological projections but rather to focus on models and patterns extracted from data that should help to identify useful, interesting and actionable trends on climate change impact and human behavior. These models and patterns may concern as well the impact of climate change on human behavior that the impact of human behavior on climate change. In addition, climate data as daily temperatures, rainfall, humidity, evapotranspiration… indicators are generally massive and they have to be crossed with other potentially voluminous domain-specific data so that big data techniques are generally inescapable for analysis and mining.
The objective of this workshop is to present researches on knowledge discovery in data as they relate to climate change impact, mitigation plans, climate services and more particularly to gain insight into data mining techniques devoted to human behaviour as they relate to climate impact. It is meant to cover methodologies as well as applications.
Louis Celliers, Helmholtz-Zentrum Geesthacht, Germany
Ivan Garcia-Magarino, Complutense, Madrid, Spain
James H Faghmous, Stanford university, USA
Auroop Ganguly, Northeastern University Boston, USA
Subimal Ghosh, Indian Institute of Technology Bombay, India
Jo-Ting Huang-Lachmann, Helmholtz-Zentrum Geesthacht, Germany
Vipin Kumar, University of Minnesota, USA
Harry Ozier-Lafontaine, INRA Antilles-Guyane, France
Wim Timmermans, Wageningen UR, Alterra, Climate Adaptation Team, The Netherlands
Topics of interest include but are not limited to:
- Data mining and machine learning methods
- Spatio-temporal data mining
- Text mining
- Social mining
- Processing, pre-processing, and post-processing of big data
- Visualizing techniques for cross-analysis of heterogeneous data
- Research data mining case studies climate related to climate change impact and human behavior in society, economy, agriculture, tourism and other domains of activity.
Martine Collard, LAMIA lab., Université des Antilles, France
Submission of papers
Authors are invited to submit original research contributions or experience reports.
The paper submission system is the same as that for the main ICDM conference: http://icdm2019.bigke.org/
Paper submission deadline extended :
August 7, 2019 August 12, 2019
Notification of acceptance: September 4, 2019
Workshop: November 8, 2019
ICDM conference: November 9-11, 2019
Each paper will be a 20-minutes presentation, followed by 10-minutes discussion and debate. The workshop will start with a talk by an invited speaker and will close with a panel to discuss key questions and topics that arise from the presentations. The panel will be multidisciplinary and including researchers and practitioners from both academia and industry who have presented the best and/or most controversial papers.
All accepted workshop papers will be published by the IEEE Computer Society Press indexed by EI.
Questions should be directed to the DMCIH chairs (email@example.com)