15 / 2019-02-18 09:31:06
Proactive Data Mining Approach for Occupational Accidents in the Construction Industry
Health, Safety, Construction Industry, Data Mining
摘要待审
The construction industry is termed as one of the accident-prone industries. Studies and surveys concluded that due to the diversified nature and complex projects today made this industry hazardous where workers feel less surety during their jobs. A number of studies have already been carried out in this regard but none of them addresses the trend of the occupational accident based on construction project activities. Hence, this study is an attempt to investigate this trend using data mining. This research provides a trend for such occupational accidents based on the construction project activities as it would be easier to handle and design appropriate preventive measures for occupational accidents. The results show that struck by is a crucial accident and may result in further accidents and must be taken care of and it is also followed by fall and caught in. This PDMA guides the decision makers to be proactive while dealing with such occupational accidents rather than reactive.
重要日期
  • 会议日期

    09月02日

    2019

    09月04日

    2019

  • 02月15日 2019

    摘要截稿日期

  • 02月22日 2019

    摘要录用通知日期

  • 03月31日 2019

    初稿截稿日期

  • 04月30日 2019

    初稿录用通知日期

  • 05月15日 2019

    终稿截稿日期

  • 09月04日 2019

    注册截止日期

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