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International Workshop on Risk Informatics (RI2007)

- Approach from Data Mining and Statistics -
  • Takashi Washio
  • Shusaku Tsumoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4914)

Abstract

Along the enhancement of our social life level, people became to pay more attention to the risk of our society to ensure our life very safe. Under this increasing demand, modern science and engineering now have to provide efficient measures to reduce our social risk in various aspects. On the other hand, the accumulation of a large amount of data on our activities is going on under the introduction of information technology to our society. This data can be used to efficiently manage the risks in the society. The Workshop on Risk Mining 2006 (RM2006) was held in June, 2006 based on these demand and situation while focusing the risk management based on data mining techniques [1,2]. However, the study of the risk management has a long history on the basis of mathematical statistics, and the mathematical statistics is now making remarkable progress in the data analysis field. The successive workshop in this year, the International Workshop on Risk Informatics (RI2007), extended its scope to include the risk management by the data analysis based on both data mining and mathematical statistics.

Keywords

Risk Management Conjoint Analysis Trajectory Group Blood Stream Infection Risk Mining 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    The Workshop on Risk Mining 2006 (RM2006) (2006), http://www.ar.sanken.osaka-u.ac.jp/rm/rm06.html
  2. 2.
    Washio, T., et al. (eds.): JSAI 2006. LNCS (LNAI), vol. 4384, pp. 303–304. Springer, Heidelberg (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Takashi Washio
    • 1
  • Shusaku Tsumoto
    • 2
  1. 1.The Institute of Scientific and Industrial Research (I.S.I.R)Osaka UniversityIbarakishiJapan
  2. 2.Department of Medical InformaticsSchool of Medicine, Shimane UniversityIzumoJapan

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