Data mining of project management data: An analysis of applied research studies

Gurdal Ertek, Murat Mustafa Tunc, Allan Nengsheng Zhang, Sobhan Asian, Omer Tanrikulu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information Technology, ICIT 2017
PublisherAssociation for Computing Machinery
Pages35-41
Number of pages7
ISBN (Electronic)9781450363518
DOIs
Publication statusPublished - Dec 27 2017
Externally publishedYes
Event2017 International Conference on Information Technology, ICIT 2017 - Singapore, Singapore
Duration: Dec 27 2017Dec 29 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2017 International Conference on Information Technology, ICIT 2017
Country/TerritorySingapore
CitySingapore
Period12/27/1712/29/17

Keywords

  • Business analytics
  • Data mining
  • Industrial applications
  • Project management

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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