co-hosted with ICDM'2013, July 19th, 2013, New York, USA
download the Call For Papers
or contact Georg Ruß: russ (at) dma-workshop.de
Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) insights, is nowadays actively applied in a wide range of disciplines related to agriculture. Due to the emerging importance of data mining techniques and methodologies in the area of agriculture, this workshop aims to bring together practitioners and researchers in this field. It creates a community of people who are actively using data mining tools and techniques and apply them to agriculture data.
This workshop will be co-hosted with the 12th Industrial Conference on Data Mining (ICDM'2012). The ICDM is one of the leading events where researchers, experts and newcomers in the field of data mining come together to share their ideas and insights and discuss new trends in data mining. At this conference series, quite a number of new theoretical and practical topics in data mining have been developed. Work on multimedia-data mining and applications in medicine, agriculture as well as in security have been presented. The workshop is also announced at the ICDM webpages.
2013-01-12 The reviewing system has been online for a while. Please submit your articles through the management system. Don't hesitate to contact me for further information.
2012-11-04 This website went live, workshop announcements were made. Details on the registration and the conference management system will be announced soon.
2012-07-20 This year's workshop took place in Berlin, Germany. We had some short-notice no-shows, but it was interesting to see the remaining contributions nevertheless.
Date/Location:
July 19th, 2013, New York City, USA
Workshop Chair:
Georg Ruß, tecData AG, Switzerland
Workshop Committee:
Alexander Brenning, University of Waterloo, Waterloo, Canada
Warwick Graco, Australian Taxation Office, Canberra, Australia
Ernesto W. De Luca, FH Potsdam, Germany
Gonzalo Pajares Martinsanz, University Complutense of Madrid, Spain
Antonio Mucherino, IRISA, University of Rennes, France
Allan Tucker, Brunel University, London, UK
Fees:
From EUR 320 per participant (workshop only, subject to change). Different fees apply if also attending ICDM'2013. Please see the ICDM website for details (under "registration").
Carrying out effective and sustainable agriculture has become an important issue in recent years. Agricultural production has to keep up with an ever-increasing population. A key to this is the usage of modern technologies such as GPS (for precision agriculture) and data mining techniques to take advantage of the soil's heterogeneity. The large amounts of data that are nowadays virtually harvested along with the crops have to be analysed and should be used to their full extent -- this is clearly a data mining task. Data mining allows to extract the most important information from such vast data and to uncover previously unknown patterns that may be relevant to current agricultural problems, thereby helping farmers and managing organisations to transform data into business decisions.
The goals of this workshop are to provide a forum for identifying important contributions and opportunities for research on data mining as it applies to agriculture to promote the systematic study of how to apply data mining to agriculture data to develop practical applications.
- Data Analysis for Site-Specific Management
- Data Mining on Sensor and Spatial Data from Agricultural Applications
- Analysis of Remote Sensor Data
- Feature Selection on Agricultural Data
- Evaluation of Data Mining Experiments
- Spatial Autocorrelation in Agricultural Data
- Information Extraction from Species Databases
- Data-Based Approaches to Tackling Plant Diseases
- Computer scientists working on agriculture problems
- Machine learners, data miners and statisticians with an interest in agriculture
- Agricultural researchers with a background in data mining
- Agriculture professionals with data mining applications and showcases
- Middleware developers covering data mining aspects in data (pre)processing
- Farmers with an interest in data mining and related aspects
- ... and similar professional and research people
Workshop papers will be published in the workshop proceedings by IBaI publishing (example reference).
PostScript (compressed and uuencoded) or PDF paper submissions should be
formatted according to Springer
LNCS format, with a maximum of ten pages. Author's instructions along with
LaTeX and Word macro files are available on the web at Springer.
Papers will be submitted via an on-line reviewing system. The reviewing system
can be found at http://www.data-mining-forum.de/cms-dma (from the end of 2012, check announcements above).
Submission Deadline:
March 20th, 2013
Notification Date:
April 30th, 2013
Camera-Ready Date:
May 12th, 2013
Workshop Date:
July 19th, 2013
