摘要
数字图书馆信息具有海量性和分布性的特点,数据挖掘技术可以有效地处理数字图书馆海量数据,但现有的数字图书馆数据挖掘平台不能充分应对信息分布性的挑战。将移动代理和数据挖掘结合则可以较好地满足数字图书馆信息挖掘的要求。实验证明,基于移动代理的数据挖掘平台克服了传统网络计算模式的缺陷,能有效地完成对数字图书馆海量、分散数据源和知识源的挖掘。
The digital library has massive and distributed information. The data mining technology can be used to process the massive data of the digital library effectively, however, the present data mining platform in the digital library can not fully meet the challenge of the distribution of information. The integration of mobile agent with data mining can better meet the requirement of data mining in the digital library. The experimental result indicates that the data mining platform based on mobile agent can overcome the limitations of the traditional Internet calculation and can effectively fulfill the mining of massive and distributed data and knowledge in the digital library.
出处
《情报理论与实践》
CSSCI
北大核心
2008年第3期436-439,共4页
Information Studies:Theory & Application
基金
浙江省自然科学基金项目"基于移动代理的网络海量数据挖掘技术"的研究成果
项目编号:602140
