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Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

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

By Kamardeen, Imriyas

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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, emplo...yers 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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ISBN 9781138087453
Released AU 30 Jul 2019
Publisher Taylor & Francis Ltd
Format Hardback
Series Spon Research
Indent title (internationally sourced), allow 8-12 weeks

Full details for this title

ISBN-13 9781138087453
Stock Available
Status Indent title (internationally sourced), allow 8-12 weeks
Publisher Taylor & Francis Ltd
Imprint Routledge
Released 30 Jul 2019
Publication Country United Kingdom United Kingdom
Format Hardback
Author(s) By Kamardeen, Imriyas
Series Spon Research
Category Data Analysis: General
Construction Industry
Occupational / Industrial Health & Safety
Engineering: General
Number of Pages 168
Dimensions Width: 156mm
Height: 234mm
Dewey Code 690.068/3
Weight 454g
Interest Age 19+ years
Reading Age 19+ years
Library of Congress Building - Safety measures - Data processing, Building - Accidents - Psychological aspects, Psychic trauma - Prevention, Data mining, Quantitative research
NBS Text Industrial Studies: General
ONIX Text College/higher education;Professional and scholarly