Rate the Article: Predicate Project Outcomes Using Machine Learning, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 111 | Views: 289

Research Paper | Computer Science & Engineering | Saudi Arabia | Volume 6 Issue 6, June 2017 | Rating: 6.6 / 10


Predicate Project Outcomes Using Machine Learning

Salwa E. Ibrahim


Abstract: Due to the project complexity and differences the need of effective planning and management in project is increase. The main objective of each project is to be successful, At least by determined three criteria time, cost and quality. The success criteria vary from project to project since we have different types and different people. Many researchers interested in artificial intelligence to assessment and predicate project outcome they want to see if computers could learn from data. This paper reviews appropriate machine learning models for predicate project outcomes and measure project success.


Keywords: project management, Machine Learning, Artificial Intelligent


Edition: Volume 6 Issue 6, June 2017,


Pages: 1653 - 1656



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