This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
Imriyas Kamardeen is Professor of Construction Management at Deakin University, Australia. He is also the Editor of the international journal Construction Economics and Building. His research and teaching interests predominantly lie in Construction Informatics and Workplace Health and Safety. He has authored two books previously with Routledge: OHS Electronic Management Systems for Construction (2013), and Fall Prevention Through Design in Construction: The Benefits of Mobile Computing (2015).
Inhaltsangabe
Preface i Acknowledgements ii Figures iii Tables v Abbreviations vi 1. Introduction 2. Curtailing construction fatalities using analytics 3. Reducing uncertainties in compensation for occupational diseases in construction using analytics 4. Curbing psychological injuries in construction using analytics 5. Predicting and preventing secondary psychological injuries in construction using analytics 6. Conclusion Index
Preface i Acknowledgements ii Figures iii Tables v Abbreviations vi 1. Introduction 2. Curtailing construction fatalities using analytics 3. Reducing uncertainties in compensation for occupational diseases in construction using analytics 4. Curbing psychological injuries in construction using analytics 5. Predicting and preventing secondary psychological injuries in construction using analytics 6. Conclusion Index
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