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.
Ertek, G., Tunc, M.M., Zhang, A.N., Tanrikulu, O., Asian, S. (2017) Data Mining of Project Management Data: An Analysis of Applied Research Studies. ICIT 2017 Proceedings of the 2017 International Conference on Information Technology. Pages 35-41. Singapore. December 27 – 29, 2017. ACM.
The published paper can be accessed from the following url:
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