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Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. According to the features of association rule, the...
In recent era, health care professionals truly belief that the better health care can be provided by developing computerized intelligent health care system. In this paper, we attempted to propose an advanced scheme of agent-based health care and medical diagnosis system using the knowledge base and collaborative as well as co-operative intelligent agents residing on a multi-agent platform, which provides...
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operators on a knowledge base, which are adequate for generating new knowledge through using known knowledge. Then, we establish the relationship between knowledge and knowledge granulation. These results will be very helpful for...
We consider a digital business ecosystem environment where SMEs cooperate and compete. We aim to provide to each SME and the ecosystem with knowledge management mechanisms to support their needs for information, service findings and recommendations. We present the design and implementation of a platform that supports the knowledge management needs in this environment. We describe the business related...
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