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Preventing Workplace Incidents in Construction - Data Mining and Analytics Applications (Hardcover)
Loot Price: R4,727
Discovery Miles 47 270
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Preventing Workplace Incidents in Construction - Data Mining and Analytics Applications (Hardcover)
Series: Spon Research
Expected to ship within 12 - 17 working days
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The construction industry is vital to any national economy; it is
also one of the industries 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 well-being 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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