With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. Fir...With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.展开更多
0 Introduction The surprising growth of the Internet, coupled with the rapid development of Web technique and more and more emergence of web information system and application, is bring great opportunities and big cha...0 Introduction The surprising growth of the Internet, coupled with the rapid development of Web technique and more and more emergence of web information system and application, is bring great opportunities and big challenges to us. Since the Web provides cross-platform universal access to resources for the massive user population, even greater demand is requested to manage data and services effectively.展开更多
基金Supported by the National Natural Science Foun-dation of China (60173058 ,70372024)
文摘With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.
文摘0 Introduction The surprising growth of the Internet, coupled with the rapid development of Web technique and more and more emergence of web information system and application, is bring great opportunities and big challenges to us. Since the Web provides cross-platform universal access to resources for the massive user population, even greater demand is requested to manage data and services effectively.
