A Novel Intelligent Decision Management System Based on USCM AKD Framework.

摘要

The quality of a business decision is dependent on the experience of the decision-maker. In the context of computer support for decision making we have been investigating the ways in which expert knowledge may be collected and provided for decision support. A potentially useful technology is that of Actionable Knowledge Discovery (AKD for short). The decision support system is viewed as a set of computer-based tools integrating expert knowledge and collaboration of technologies that help decision-makers and provide them with interactive capabilities to enhance their understanding and information base. Through Intelligent Decisions, stakeholders/survey agencies /customers /financial institutions /different levels of management in the organization are able to make effective decisions concerning the management and direction of their organization. This paper introduces business intelligent decisions that take place from the data-warehouse through AKD in Domain Driven Data Mining (D3M for short). The general architecture of D3M for enterprise decisions was proposed and the model storage was presented, and its characteristics would be analyzed. The deliverables of D3M were extracted from the result of supervised/unsupervised mining and knowledge base. The enterprise decisions and reports could be analyzed through D3M deliverables. It also discusses the important steps of designing the data warehouse and describes the meaning of D3M applied to the IDS and finally evolving of D3M to individual services are presented.