A Chance Favors a Flying Bird

• Ohsawa Yukio

  University of Tokyo

• Tsuruoka Shuhei

  University of Tokyo

• Maeda Yusuke

  University of Tokyo

Abstract

Tools for Chance Discovery have been used in the wide range of applications: Marketing, product designs, earthquake predictions etc. These tools visualized the maps of relations among events, to be used as scenario maps for aiding users? decisions. However, the network models in the basis of these existing tools, represented by KeyGraph, have been sometimes confusing due to the complex structure of the output graph. In this paper, the potential model has been introduced to translate the links among events in KeyGraph, into contextual relations underlying the observed events. The visual outlook of the presented tool KeyBird is like the land surface of a real island with mountains and ridges, and users easily interprets the scenes underlying the data. The experimental results implies combining KeyGraph and KeyBird is useful for aiding real business decisions.

Journal

• SCIS & ISIS

  SCIS & ISIS 2006 (0), 1204-1209, 2006

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• visualization
• KeyGraph
• chance discovery

Details

• CRID: 1390282680567656448
• NII Article ID: 130004672315
• DOI: 10.14864/softscis.2006.0.1204.0
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed