In the research of rule extraction from neural networks, fidelity describeshow well the rules mimic the behavior of a neural network while accuracy describes how well therules can be generalized. This paper identifies...In the research of rule extraction from neural networks, fidelity describeshow well the rules mimic the behavior of a neural network while accuracy describes how well therules can be generalized. This paper identifies the fidelity-acuracy dilemma. It argues todistinguish rule extraction using neural networks and rule extraction for neural networks accordingto their different goals, where fidelity and accuracy should be excluded from the rule qualityevaluation framework, respectively.展开更多
With massive amounts of data stored in databases, mining information and knowledge in databases has become an important issue in recent research. Researchers in many different fields have shown great interest in data ...With massive amounts of data stored in databases, mining information and knowledge in databases has become an important issue in recent research. Researchers in many different fields have shown great interest in data mining and knowledge discovery in databases. Several emerging applications in information providing services, such as data warehousing and on-line services over the Internet, also call for various data mining and knowledge discovery techniques to understand user behavior better, to improve the service provided, and to increase the business opportunities. In response to such a demand, this article is to provide a comprehensive survey on the data mining and knowledge discovery techniques developed recently, and introduce some real application systems as well. In conclusion, this article also lists some problems and challenges for further research.展开更多
文摘In the research of rule extraction from neural networks, fidelity describeshow well the rules mimic the behavior of a neural network while accuracy describes how well therules can be generalized. This paper identifies the fidelity-acuracy dilemma. It argues todistinguish rule extraction using neural networks and rule extraction for neural networks accordingto their different goals, where fidelity and accuracy should be excluded from the rule qualityevaluation framework, respectively.
文摘With massive amounts of data stored in databases, mining information and knowledge in databases has become an important issue in recent research. Researchers in many different fields have shown great interest in data mining and knowledge discovery in databases. Several emerging applications in information providing services, such as data warehousing and on-line services over the Internet, also call for various data mining and knowledge discovery techniques to understand user behavior better, to improve the service provided, and to increase the business opportunities. In response to such a demand, this article is to provide a comprehensive survey on the data mining and knowledge discovery techniques developed recently, and introduce some real application systems as well. In conclusion, this article also lists some problems and challenges for further research.
