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The Internet and the World Wide Web in particular provide a unique platform to connect learners with educational resources. Educational material in hypermedia form in a Web-based educational system makes learning a task-driven process. It motivates learners to explore alternative navigational paths through the domain knowledge and from different resources(More)
In this paper, the development of knowledge management (KM) was surveyed, using a literature review and classification of articles from 1995 to 2004. With a keyword index and article abstract, we explored how KM performance evaluation has developed during this period. Based on a scope of 108 articles from 80 academic KM journals (retrieved from six online(More)
This article develops an option pricing model to evaluate knowledge management (KM) activities from the following perspectives: knowledge creation , knowledge conversion, knowledge circulation, and knowledge carry out. This paper makes three important contributions: (1) it provides a formal theoretical grounding for the validity of the Black-Scholes model(More)
Financial distress prediction is an important and widely researched issue because of its potential significant influence on bank lending decisions and profitability. Since the 1970s, many mathematical and statistical researchers have proposed prediction models on such issues. Given the recent vigorous growth of artificial intelligence (AI) and data mining(More)
In this paper, we compare some traditional statistical methods for predicting financial distress to some more ''unconventional'' methods, such as decision tree classification, neural networks, and evolutionary computation techniques, using data collected from 200 Taiwan Stock Exchange Corporation (TSEC) listed companies. Empirical experiments were conducted(More)
The threats to people's health from chronic diseases are always exist and increasing gradually. How to decrease these threats is an important issue in medical treatment. Thus, this paper suggests a model of a chronic diseases prognosis and diagnosis system integrating data mining (DM) and case-based reasoning (CBR). The main processes of the system include:(More)