Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (Spon Research) - Image 1

£96.85

Routledge Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (Spon Research)

Name: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (Spon Research)
Brand: Routledge
Price: 96.85 GBP
Availability: InStock

Codes & Standards

About as cheap as it gets. The only time it was cheaper was 9 months ago.

£97 today · all-time low £93 (Aug 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 583 days • 583 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 583 days • 3 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £93-106 (503 days, 86.3%)

Price range: £93 - £155

Price levels: 3 price ranges over 583 days

Description

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. About the Author 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).

Product Specifications

Brand: Routledge
Format: hardcover
ASIN: 1138087459
Category: Books > Subjects > Arts & Photography > Architecture > Reference > Codes & Standards
Domain: Amazon UK
Release Date: 25 June 2019
Listed Since: 15 March 2019

Barcode

No barcode data available

Routledge Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications (Spon Research)

About as cheap as it gets. The only time it was cheaper was 9 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Work Stress Induced Chronic Diseases in Construction: Discoveries using data analytics (Spon Research)

Integrating Work Health and Safety into Construction Project Management

Harvesting and Managing Knowledge in Construction: From Theoretical Foundations to Business Applications

OHS Electronic Management Systems for Construction (Spon Research)

Managing Health and Safety in Building and Construction

Managing Health and Safety in Building and Construction

Construction Safety (Risk Engineering)

Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining: ISRM 2020 - Volume 2: 108 (Lecture Notes in Civil Engineering, 108)

Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining: ISRM 2020 - Volume 1: 109 (Lecture Notes in Civil Engineering, 109)

Innovations in Big Data Mining and Embedded Knowledge: 159 (Intelligent Systems Reference Library, 159)

Advanced Analytics in Mining Engineering: Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions

Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era

OHS Electronic Management Systems for Construction (Spon Research)

Safety and Human Resource Law for the Safety Professional (Occupational Safety & Health Guide Series)

Health and Safety in Construction Revision Guide: for the NEBOSH National Certificate in Construction Health and Safety

Handbook of Drivers of Continuous Improvement in Construction Health, Safety, and Wellbeing

NVQ Diploma Level 6 Construction Site Management: Answers for 19 Units 2022

Information Science Reference - Biometric Authentication Book

Construction Health and Safety in Developing Countries (Spon Research)

Statistics for Mining Engineering

Data Mining: Theories, Algorithms, and Examples (Human Factors and Ergonomics)

Designing a Safer Built Environment: A complete guide to the management of design risk

Partnering in the Construction Industry: Code of Practice for Strategic Collaborative Working

Computational Intelligence in Data Mining - Volume 3: Proceedings of the International Conference on CIDM, 20-21 December 2014: 33 (Smart Innovation, Systems and Technologies, 33)