The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Accurate building construction cost prediction is critical, especially for sustainable projects
(ie, green buildings). Green building construction contracts are relatively new to the …

The construction industry is one of the most dangerous industries in many countries. To
improve the situation, senior managers overseeing portfolios of construction projects need to …

Cost overrun risks are declared to be dynamic and interdependent. Ignoring the relationship
between cost overrun risks during the risk assessment process is one of the primary reasons …

Bridges are essential components of transportation systems. The bidding process is the
main determinant of whether a contractor is commissioned to complete a construction …

Construction accidents can have major social, financial, reputational and legal implications.
Hence, it is to be expected that safety is often presented as a key priority for construction …

Currently, cost overrun is a global challenge to completing construction projects
successfully. To overcome this problem, earlier studies investigated factors of cost overrun …

In the global construction context, the best value or most economically advantageous tender
is becoming a widespread approach for contractor selection, as an alternative to other …

Challenges and drivers for data mining in the AEC sector | Emerald Insight Books and journals
Case studies Expert Briefings Open Access Publish with us Advanced search Challenges and …