co-hosted with ICDM'2010, July 12th-14th, 2010, Berlin, Germany
download the Call For Papers
or contact Georg Ruß: russ (at) dma2010.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 10th Industrial Conference on Data Mining (ICDM'2010). 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.
2010-05-27 The workshop program is on-line. The workshop will take place on July 14th, 14:30 (2.30pm) at the ICDM location. Each author has up to 30 minutes for his presentation.
2010-05-24 The reviewing process has been ended. There were five submissions, of which four were accepted for the workshop.
2009-10-12 The reviewing and conference management system went on-line at http://www.data-mining-forum.de/cms-dma.
2009-09-29 This website went live, workshop announcements were made. Details on registration and conference management system will be announced soon.
Date/Location:
July 14th, 2010, Berlin/Germany
Workshop Chair:
Georg Ruß, Otto-von-Guericke-Universität Magdeburg, Germany
Organisational Chair:
Maria Patrunky, Universität Leipzig, Germany
Workshop Committee:
Alexander Brenning, University of Waterloo, Waterloo, Canada
Warwick Graco, Australian Taxation Office, Canberra, Australia
David A. Holland, Computer Science Corporation, Arlington, VA, USA
Frank Rügheimer, Institut Pasteur, Paris, France
Ernesto W. De Luca, TU Berlin, Germany
Fees:
EUR 220 per participant (workshop only). Different fees apply if also attending ICDM'2010. Please see the ICDM website for details.
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 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
- 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.
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.
Submission Deadline:
April 28th, 2010
Notification Date:
May 24th, 2010
Camera-Ready Date:
June 4th, 2010
Workshop Date:
July 14th, 2010
