Name: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (en Inglés)
Price: 723.92 PEN
Availability: InStock
Author: Kamardeen, Imriyas
ISBN: 9781138087453

portada Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (en Inglés)

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (en Inglés)

Formato

Libro Físico

Autor

Imriyas Kamardeen

Editorial

Routledge

Año

2019

Idioma

Inglés

N° páginas

168

Encuadernación

Tapa Dura

Dimensiones

23.9 x 16.3 x 1.5 cm

Peso

0.39 kg.

ISBN13

9781138087453

N° edición

Categorías

Arquitectura: ejercicio profesional
Arquitectura: edificios residenciales, viviendas
Construcción e industria pesada
Construcción de edificios y materiales

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (en Inglés)

Imriyas Kamardeen (Autor) · Routledge · Tapa Dura

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Reseña del libro "Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (en Inglés)"

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.