| 科研基金数据加工方法研究 |
| 修订日期：2014-05-07 点此下载全文 |
| 引用本文：赵胜钢,陈颖.科研基金数据加工方法研究[J].医学信息学杂志,2014,35(6):38-43 |
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| 中文摘要:分析原始基金数据的特点，依据知识发现的基本原理，对科研基金数据进行拆分、清洗、分类与甄别，建立起基金分类体系，再利用该体系对科研基金数据进行标注。通过“聚类-完善分类体系-标注”的循环，完成对科研基金数据的加工。 |
| 中文关键词:知识发现 数据挖掘 聚类分析 Levenshtein Distance算法 |
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| Research on Processing Method of Scientific Research Fund Data |
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| Abstract:The paper analyzes the characteristics of original scientific research fund data, according to the basic principles of knowledge discovery, it carries out partitioning, cleaning, classification and screening on scientific research fund data, constructs fund classification system, then uses the system to mark the scientific research fund data. Through "clustering -classification system perfection - marking "cycle to complete the scientific research fund data processing. |
| keywords:Knowledge discovery Text mining Data clustering Levenshtein Distance algorithm |
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