| 基于PMML的自组织神经网络元模型 |
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| 引用本文： | 汪加才,朱艺华.基于PMML的自组织神经网络元模型[J].计算机应用与软件,2006,23(11):37-39. |
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| 作者姓名： | 汪加才 朱艺华 |
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| 作者单位： | 1. 南京审计学院计算机科学与技术系,江苏,南京,210029
2. 浙江工业大学信息智能与决策优化研究所,浙江,杭州,310014 |
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| 基金项目： | 江苏省高校自然科学基金;国家自然科学基金 |
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| 摘 要： | Kohonen自组织特征映射网络SOM因其能够将高维数据映射为二维特征图而广泛应用于数据探索分析活动中。预测模型标记语言标准PMML是一个与平台及系统无关的数据挖掘模型表示语言，但其中并未包含SOM元模型的定义。通过对SOM模型的应用需求分析，提出了基于PMML的SOM元模型定义，可使模型生成与模型存储相分离，使用户在脱离模型生成系统的情况下进行模型的可视化及利用。
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| 关 键 词： | 数据挖掘语言 |
| 收稿时间： | 11 22 2004 12:00AM |
| 修稿时间： | 2004-11-22 |
THE PMML BASED META-MODEL OF SELF-ORGANIZING MAPS |
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| Wang Jiacai,Zhu Yihua.THE PMML BASED META-MODEL OF SELF-ORGANIZING MAPS[J].Computer Applications and Software,2006,23(11):37-39. |
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| Authors: | Wang Jiacai Zhu Yihua |
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| Affiliation: | Department of Computer Science and Technology, Nanjing Audit University, Nanjing Jiangsu 210029, China ; 2 .Instttute of Informatton Intelhgence and Decision Optimization, Zhejiang University of Technology, Hangzhou Zhejiang 310014, China |
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| Abstract: | Self-Organizing Feature Maps(SOM),as proposed by Kohonen,has been used as a tool for data exploratory analysis by mapping high-dimensional data into a two dimensional feature map.In the emerging standard PMML(Predictive Model Markup Language),which is the platform and system independent representation of data mining models,there is no definition of the SOM meta-model.After the usage analysis of the SOM model,we proposed an extension to the PMML model for SOM.The primary purpose of the PMML based meta-model of SOM is to separate model generation from model storage in order to enable users to visualize and utilize the SOM model independently of the system that generated the model. |
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| Keywords: | PMML SOM |
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