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Mining Road Accidents

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MICAI 2002: Advances in Artificial Intelligence (MICAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2313))

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Abstract

Knowledge Discovery in Data Bases has been established as a promising area for dealing with the increased stored data that is been generated in our times.Finding good patterns or relations between attributes and data is not an easy task and requires a long,and often painful,process.This article describes the process followed to discover useful patterns on a real data base of road accidents.This article has two main purposes:(i)to present a documented case of a data mining process followed on a real data base with useful hints and lessons learned during the process,and (ii)to present the main results of road accidents in Mexico.

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© 2002 Springer-Verlag Berlin Heidelberg

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Eduardo F., M., Dulce Ma., H., Andrés F., R. (2002). Mining Road Accidents. In: Coello Coello, C.A., de Albornoz, A., Sucar, L.E., Battistutti, O.C. (eds) MICAI 2002: Advances in Artificial Intelligence. MICAI 2002. Lecture Notes in Computer Science(), vol 2313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46016-0_54

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  • DOI: https://doi.org/10.1007/3-540-46016-0_54

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43475-7

  • Online ISBN: 978-3-540-46016-9

  • eBook Packages: Springer Book Archive

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