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مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

DATA-SEARCHING APPLICATIONS IN REVIEWING BEHAVIORS OF HIGH RISK TRAFFIC VIOLATORS IN METROPOLISES

Pages

  109-132

Abstract

 In attention to the traffic rules and law breaking regarded as one of the causes of traffic accidents and problems in all societies that depend on cultural, social, economical and geographical context and its extent and kind will different. Although the role of environmental phenomena is important but the role of human is the effective factor in decreasing and removing other errors and shortages. This article through practical DATA SEARCHING on the TRAFFIC VIOLATIONS data to has studied the ways of recognizing high risk drivers and if it is possible, through knowing the violations records and environmental and personal features, to identify them and ratify traffic rules for reducing TRAFFIC VIOLATIONS. In the way of applying CATEGORIZATION method in DATA SEARCHING two techniques including NERVOUS NETWORKs and DECISION TREE in violations information have been used. And in the end, to improve the results, combination approach including CATEGORIZATION and DECISION TREE techniques have been used.

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    APA: Copy

    JAFARI, E., & SAMADIAN, M.S.. (2012). DATA-SEARCHING APPLICATIONS IN REVIEWING BEHAVIORS OF HIGH RISK TRAFFIC VIOLATORS IN METROPOLISES. RAHVAR, 9(17), 109-132. SID. https://sid.ir/paper/202166/en

    Vancouver: Copy

    JAFARI E., SAMADIAN M.S.. DATA-SEARCHING APPLICATIONS IN REVIEWING BEHAVIORS OF HIGH RISK TRAFFIC VIOLATORS IN METROPOLISES. RAHVAR[Internet]. 2012;9(17):109-132. Available from: https://sid.ir/paper/202166/en

    IEEE: Copy

    E. JAFARI, and M.S. SAMADIAN, “DATA-SEARCHING APPLICATIONS IN REVIEWING BEHAVIORS OF HIGH RISK TRAFFIC VIOLATORS IN METROPOLISES,” RAHVAR, vol. 9, no. 17, pp. 109–132, 2012, [Online]. Available: https://sid.ir/paper/202166/en

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