In this paper, a web based survey and interviews are used to
collect project data, about requirements, project sponsor and
customers. Tools such as association, neural networks,
clustering, naive bayes and decision tree are used to discover
common characteristics and rules that govern project success
and failure.
In this paper, a web based survey and interviews are used to
collect project data, about requirements, project sponsor and
customers. Tools such as association, neural networks,
clustering, naive bayes and decision tree are used to discover
common characteristics and rules that govern project success
and failure.
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