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Workshop Data Mining in Agriculture (DMA'2010)

Workshop Data Mining in Agriculture (DMA'2010)

July 14th, Berlin, Germany

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.

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.

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

  • 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

Target Group

  • 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

Important Dates

  • Submission Deadline: April 28th, 2010
  • Notification Date: May 24th, 2010
  • Camera-Ready Date: June 4th, 2010
  • Workshop Date: July 14th, 2010

Download the Call for Papers:

Contact: Georg Ruß, Otto-von-Guericke-Universität Magdeburg, Germany

email: russ(at)
Topic revision: r3 - 13 Aug 2010, TheresiaFreska
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