A Comparative Study on Data Mining for Improbable Yet Critical Fatal Event of Car Accidents Using Sequential Covering Algorithm


This paper studies how feature code clustering and distance function affect the speed of rule search and the quality of rule set when sequential covering algorithm is used to extract rules for the rare fatal event in car accidents.

  • Abstract
  • Introduction
  • Our Approach
  • Comparative Study Design
  • Computational Results and Discussion
  • Conclusions
  • References

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