| 基于JADE平台的多Agent协同数据挖掘研究 |
| |
| 引用本文： | 林少丹,韩国强,许孝元. 基于JADE平台的多Agent协同数据挖掘研究[J]. 微电子学与计算机, 2006, 23(5): 56-59,62 |
| |
| 作者姓名： | 林少丹 韩国强 许孝元 |
| |
| 作者单位： | 华南理工大学计算机科学与工程学院,广东,广州,510641 |
| |
| 基金项目： | 广东省博士启动基金;广东省教育厅千百十工程优秀人才培养基金;广东省广州市科技计划 |
| |
| 摘 要： | 文章针对多Agent协同数据挖掘问题进行了有关理论研究,提出了基于JADE平台的可扩展、适应性强、高效的三层多Agent并行关联规则挖掘方案,介绍了实现的关键技术,最后给出一个在UCI大规模数据集上进行并行分布式数据挖掘的应用实例.
|
| 关 键 词： | 数据挖掘 关联规则 并行数据挖掘 |
| 文章编号： | 1000-7180(2006)05-004 |
| 收稿时间： | 2005-04-13 |
| 修稿时间： | 2005-04-13 |
A Study on Collaborative Data Mining Using Multi-Agents within JADE Platforms |
| |
| LIN Shao-dan,HAN Guo-qiang,XU Xiao-yuan. A Study on Collaborative Data Mining Using Multi-Agents within JADE Platforms[J]. Microelectronics & Computer, 2006, 23(5): 56-59,62 |
| |
| Authors: | LIN Shao-dan HAN Guo-qiang XU Xiao-yuan |
| |
| Affiliation: | School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641 China |
| |
| Abstract: | The problem of collaborative data mining using multi-agents is addressed in this paper. First of all, the related theories are introduced, then a scalable, adaptive, effective and efficient 3-tier parallel solution to association rule mining, based on JADE agent platforms, is proposed, and the key technologies for system implementation are introduced. Finally an application paradigm of paralleled and distributed collaborative data mining with a UCI largescale dataset is given. |
| |
| Keywords: | Agent JADE |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
