The feasibility study of the application of Big Data to predict delay situations in construction projects with daily report data.

Several studies aim to study the application of big data technology in construction management by Thai governments. Nowadays, technology has inevitably played a role in daily life. As a result, the government agencies in Thailand must adjust their management strategies to keep up with the rapidly changing world. The delays in construction projects are still a problem and could be solved with machine learning technology, such as modeling, to predict issues or factors that cause delays. There is an effort to adapt machine learning technology from big data to use old data in daily reports in construction projects in Thailand, contributing to the way forecast delays are handled in construction projects. We collected data from 63,103 reports and used k-nearest neighbors (KNNs) to model the process. Finally, the developed model for delay issue prediction using a machine learning algorithm could be done with 92.79 percent accuracy.