现货 Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (Spon Research)[9781138087453]

1514 九五品

库存2件

上海宝山

认证卖家担保交易快速发货售后保障

作者Kamardeen, Imriyas

出版社Routledge

ISBN9781138087453

出版时间2019-06

装帧精装

纸张其他

页数168页

正文语种英语

上书时间2023-04-04

已实名已认证进店收藏店铺

商品描述: The construction industry is vital to any national economy; it is also one of the most susceptible to workplace incidents. The unacceptably high rates of incidents in construction have huge socio-economic consequences for the victims, their families and friends, co-workers, employers and society at large. Construction safety researchers have introduced numerous strategies, models and tools through scientific inquiries involving primary data collection and analyses. While these efforts are commendable, there is a huge potential to create new knowledge and predictive models to improve construction safety by utilising already existing data about workplace incidents. In this new book, Imriyas Kamardeen argues that more sophisticated approaches need to be deployed to enable improved analyses of incident data sets and the extraction of more valuable insights, patterns and knowledge to prevent work injuries and illnesses.
The book aims to apply data mining and analytic techniques to past workplace incident data to discover patterns that facilitate the development of innovative models and strategies. Thereby improving work health, safety and wellbeing in construction and curtailing the high rate of incidents. It is essential reading for researchers and professionals in construction, health and safety and anyone interested in data analytics.

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