Data collected and generated through and posterior to projects, such as data residing in project management software and post-project review documents, can be a major source of actionable insights and competitive advantage. This paper presents a rigorous methodological analysis of the applied research published in academic literature, on the application of data mining (DM) for project management (PM). The objective of the paper is to provide a comprehensive analysis and discussion of where and how data mining is applied for project management data and to provide practical insights for future research in the field.
|Title of host publication||Proceedings of the 2017 International Conference on Information Technology (ICIT)|
|Place of Publication||Boston, MA|
|Publication status||Published - 2017|