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This paper presents a weighted support vector machine (WSVM) based on association rules for two-class classification problems. The basic idea of the WSVM is to assign different weights to different data points to minimize impacts of outliers. In this paper, we apply association rules to generate weights to prevent bias to the majority class for imbalanced binary classification problems. Experimental...
With the Internet medicine market continues to develop, the entry qualification and automated auditing techniques for the ontology of Internet medicine market play an increasingly important role in the market construction. This paper studies on the entry qualification system for the features of entry qualification for the ontology of Internet medicine market. This paper also proposes an automated...
Knowledge Management (KM) system is one kind of technology that synthetically explores various methods to realize the capture, storage and reuse of knowledge. One of objectives of KM is to promote the share and reuse of all kind of knowledge. Based on Ontology, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of ontology, this paper presents the method...
Knowledge Management (KM) is being given more emphasis in enterprise to win the challenge, but today the KM in use has two limits: static use and closed maintenance. This paper put forward a Ontology-based and Dynamic Participate KM Framework-OKMDP. We set up the framework with the molding of information content. From three points (creating sharing understanding, open knowledge integrating, linking...
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