计算机与现代化

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中医经络数据的缺失值填补及可视化

  

  1. 同济大学电子与信息工程学院,上海201804
  • 收稿日期:2015-01-08 出版日期:2015-03-23 发布日期:2015-03-26
  • 作者简介:陈家昌(1990-),男,江西宜春人,同济大学电子与信息工程学院硕士研究生,研究方向:数据挖掘。

Missing Value Estimation and Visualization of Meridian Datain Traditional Chinese Medicine

  1. School of Electronics and Information, Tongji University, Shanghai 201804, China
  • Received:2015-01-08 Online:2015-03-23 Published:2015-03-26

摘要: 随着中国文化的不断发展与弘扬,中医经络作为中国传统文化的精髓受到越来越多人的关注和认可。然而,在经络数据采集的过程中,不可避免地造成数据的缺失,影响了数据的下一步处理。同时,由于经络数据具有维度高、时序长等特点,传统的数据挖掘方法很难处理。本文提出一种对缺失经络数据的可视化分析框架,实验结果表明,利用的可视化分析框架,有效地弥补了数据缺失带来的损失,并且通过可视化展示可挖掘出经络数据中的一些隐藏规律。

关键词: 可视化, 数据补缺, 数据挖掘, 中医经络, 经络数据分析

Abstract: With the development of Chinese culture, traditional Chinese medicine meridian is getting more and more attention and recognition. However, in the process of collecting of meridian data, it is inevitable that results data are missed which affects the further processing of the data. Also, because the meridian data is of high dimensions, long timing and so on, traditional data mining methods are difficult to deal with it. This article proposes a missing meridian data visualization analysis framework. The experimental results show that the visual analysis framework effectively compensates for the loss of missing data, and through visual display, it can dig out some hidden rules in the meridian data.

Key words: visualization, estimation, data mining, meridian data of traditional Chinese medicine, analysis of meridian data

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