摘要
Rough sets is one important method of data mining. Data mining processes such a great quantity of data inlarge database that the speed of Rough Sets Data Mining Algorithm is critical to Data Mining System. Utilizing net-work computing resources is an effective approach to improve the performance of Data Mining System. This paperproposes the concept of meta-information,which is used to describes the result of Rough Sets Data Mining in informa-tion system,and a meta-information-based method for rule parallel mining. This method decomposes the information-system into a lot of sub-information-system,dispatchs the task of generating meta-information of sub-information-sys-tem to some task performer in the network,and lets them parallel compute meta-information,then synthesizes themeta-information of sub-information-system to the meta-information of information system in the task synthesizer,and finally produces the rule according to the meta-information.
Rough sets is one important method of data mining. Data mining processes such a great quantity of data in large database that the speed of Rough Sets Data Mining Algorithm is critical to Data Mining System. Utilizing network computing resources is an effective approach to improve the performance of Data Mining System. This paper proposes the concept of meta-information, which is used to describes the result of Rough Sets Data Mining in information system, and a meta-information-based method for rule parallel mining. This method decomposes the information-system into a lot of sub-information-system,dispatchs the task of generating meta-information of sub-information-system to some task performer in the net work, and lets them parallel compute meta-information, then synthesizes the meta-information of sub-information-system to the meta-information of information system in the task synthesizer, and finally produces the rule according to the meta-information.
出处
《计算机科学》
CSCD
北大核心
2003年第3期35-39,共5页
Computer Science
