I-KNOW 2013: Difference between revisions

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New page: *'''Title''': The 13th International Conference on Knowledge Management and Knowledge Computing (I-KNOW 2013) *'''Date:''' September 4-6, 2012 *'''Location:''' Graz, [[w...
 
I-KNOW 2013
 
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Of the topics listed in CFP is VISUAL ANALYTICS & INFORMATION VISUALISATION
I-KNOW Conference Topic '''Knowledge & Data Analytics''' aims to bridge user-centric and data-centric approaches and welcomes contributions from both ends of the spectrum.
It represents the continuation of previous TAVA (Theory and Applications of Visual Analytics) and KD (Knowledge Discovery) special tracks.
 
 
Topics of interest addressing VISUAL ANALYTICS & INFORMATION VISUALISATION include (but are not limited to):
* Visual Analytics and Intelligent User Interfaces for Data Analytics
* Visual Analytics and Intelligent User Interfaces for Data Analytics
* Information Visualisation
* Information Visualisation

Latest revision as of 21:44, 1 February 2013

  • Title: The 13th International Conference on Knowledge Management and Knowledge Computing (I-KNOW 2013)
  • Date: September 4-6, 2012
  • Location: Graz, Austria
  • Proceedings Publisher: ACM International Conference Proceeding Series
  • Homepage: http://i-know.tugraz.at/


  • Abstract Submission Deadline: March 25, 2013
  • Paper Submission Deadline: April 1, 2013
  • Poster Submission Deadline: May 21, 2013


I-KNOW Conference Topic Knowledge & Data Analytics aims to bridge user-centric and data-centric approaches and welcomes contributions from both ends of the spectrum. It represents the continuation of previous TAVA (Theory and Applications of Visual Analytics) and KD (Knowledge Discovery) special tracks.


Topics of interest addressing VISUAL ANALYTICS & INFORMATION VISUALISATION include (but are not limited to):

  • Visual Analytics and Intelligent User Interfaces for Data Analytics
  • Information Visualisation
  • Scalability of Visual Analytics and Knowledge Discovery Techniques
  • Interactive Knowledge Discovery
  • Visual Representations and Interaction Techniques
  • Visualisation of Knowledge, Semantic Information and Linked Data
  • Visualisation of Search Results, Text and Multimedia Corpora
  • Visualisation of Temporal, Spatial and Sensory Data
  • Process and Workflow Visualisation
  • Visual Support for Reasoning and Decision Making
  • Discourse and Collaborative Visualisation
  • Cognitive and Perceptual Factors in Visualization