Tuesday, 9 July 2013

Introducing KNIME (by Edmund Duesbury)

This blog entry could revolutionise the way you do information-based research!

KNIME (pronounced [naɪm/] and rhymes with "time") represents an exciting step forward in programming and the development of scientific tools for information sciences.  KNIME is a freely available, open source workflow tool which allows users, in a few clicks, to develop "programs" which can 
  • generate statistics from given input data,  
  • perform visual analyses and
  • generate graphs and web-based reports.

KNIME has built into it a wide variety of program libraries. Elements of these can be dragged and dropped into a workspace, enabling users to create a program in mere minutes.  These are not only useful, they look good as well!  Because KNIME makes use of visual representations of program components, it's incredibly easy to use.  There is no need to mess around with UML or pseudocode, and planning of workflows becomes straightforward.

In this session, James Wallace and I will try to introduce you to KNIME, and give an example of how to obtain simple statistics from some input data.  We’ll also demonstrate a classification method for plants which anyone can implement and which is easy to understand. Please feel free to come along, ask questions, and have a play with KNIME.

More information, including download links, can be found at: http://www.knime.org/knime

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