Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires

  • Xiaolong Zhang
  • Tetsuo Narita
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1721)

3 Conclusions

We have successfully obtained mining results with the questionnaire data. This application is very significant because the results are directly apply to the cancer prevention and cancer control. The following step is to collect more data (the other district questionnaire data) and do further mining to generate more genaral rules.

References

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    P. Cabena et al. Discovering data mining. Prentice Hall PTR, 1998.Google Scholar
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    IBM Intelligent Miner for Data. Using the Intelligent Miner for Data. IBM Corp., Third Edition, 1998.Google Scholar
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    M. Mehta, R. Agrawal, and J. Rissanen. SLIQ: A fast scalable classifier for data mining. In Proc. of the Fifth Int’l Conference on Extending Database Technology, Avignon, France, 1996. Morgan Kaufmann.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Xiaolong Zhang
    • 1
  • Tetsuo Narita
    • 1
  1. 1.Business Intelligent SolutionsIBM JapanTokyoJapan

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