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Managing enterprise knowledge for decision support is crucial for enterprises to gain competitive advantages in knowledge-based economy. The valuable knowledge patterns hidden in numerous projects are important assets of enterprises. The management of such project knowledge is becoming increasingly important and challenging for organizational adaptation and survival in the face of continuous environmental change. This work proposes a project-based knowledge map framework to capture project knowledge and discover valuable knowledge patterns from previous projects. A collaborative two-phase data mining approach is applied to extract valuable project attributes, and discover their associations. Moreover, the discovered knowledge patterns are organized in a well-structured knowledge map, which facilitates effective navigation of project knowledge.