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Adaptive Visual Clustering for Mixed-Initiative Information Structuring

  • Hakan Duman
  • Alex Healing
  • Robert Ghanea-Hercock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5617)

Abstract

Cyclone is a mixed-initiative and adaptive clustering and structure generation environment which is capable of learning categorization behavior through user interaction as well as conducting auto-categorization based on the extracted model. The strength of Cyclone resides in its integration of several visualization and interface techniques with data mining and AI learning processes. This paper presents the intuitive visual interface of Cyclone which empowers the user to explore, analyze, exploit and structure unstructured information from various sources generating a personalized taxonomy in real-time and on-the-fly.

Keywords

Information Visualization Data Mining Human-Computer Interaction Machine Learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hakan Duman
    • 1
  • Alex Healing
    • 1
  • Robert Ghanea-Hercock
    • 1
  1. 1.British Telecommunications plcIpswichUnited Kingdom

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