Abstract
Project success is one of the highest concerns of the project managers and clients. Unfortunately there is no general agreement among researchers nor practitioners about its measurement. One of the major reasons that increase complexity of measuring project success is existence of various success criteria and furthermore interrelationship among them. In this paper we aim to discover these relationships between nine major success criteria using a data mining methods i.e. Association Rules learning. We review 170 selected papers related to the project success and make a framework and then apply the Association Rules to explore the relation between nine groups of success criteria. At the end we discussed the result discovered by this
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
