Machine learning in project analytics: a data-driven framework and case study.

ABSTRACT: The analytic procedures incorporated to facilitate the delivery of projects are often referred to as project analytics. Existing techniques focus on retrospective reporting and understanding the underlying relationships to make informed decisions. Although machine learning algorithms have been widely used in addressing problems within various contexts (e.g., streamlining the design of construction projects), limited studies have evaluated pre-existing machine learning methods within the delivery of construction projects. Due to this, the current research aims to contribute further to this convergence between artificial intelligence and the execution construction project through the evaluation of a specific set of machine learning algorithms. This study proposes a machine learning-based dat

SUBMITTER: Uddin S 

PROVIDER: S-EPMC9463441 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature