【摘要】 随着Internet的发展,网络上的数据具有空间分布、环境和内容异构、结构复杂、相互关联强等特性,如何快速有效地从分布式存储的海量数据源中挖掘信息是分布式数据挖掘要解决的问题。针对传统决策树ID3算法的缺陷,提出分布式ID3算法,结合mobileagent技术,提出了基于mobileagent的分布式ID3挖掘模型,并进一步用数据集验证模型。更多还原

【Abstract】 With the development of internet, A mass of distributed data in Network environment is spatial, depended on environment, heterogeneous, complicated in structure and correlative. To deal with these complexities, distributed data-mining system is employed to draw useful information from various data sources efficiently. Aimed at the limitation of the traditional ID3, a distributed ID3 algorithm and a distributed ID3 model based on mobile agent was drawn. At last the model was validated through data.更多还原