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知识发现及其在临床医学上的应用 被引量:3

Knowledge Discovery in Database and Its Application in Clinical Diagnosis
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摘要 目前海量的数据存储已经远远超过了人的理解能力 ,尤其是现代医学数据量越来越大 ,而传统的统计技术及数据管理工具已经力不从心 ,知识发现及数据挖掘工具在处理海量数据库时显示了它们的长处。本文首先介绍了知识发现及数据挖掘的概念 ,又详细介绍了知识发现的一个重要工具粗糙集理论的有关基础知识并举例介绍了其应用。 Nowadays the tremendous amount of data has far exceeded our human ability for comprehension,and this has been particularly true for the madical database. However,traditional statistical techniques are no longer adequate for analyzing this vast collection of data. Knowledge discovery in database and data mining play an important role in analyzing data and uncovering important data patterns. This paper briefly presents the concepts of knowledge discovery in database and data mining,then describes the rough set theory,and gives some examples based on rough set.
作者 刘惠 邱天爽
出处 《生物医学工程学杂志》 EI CAS CSCD 2004年第4期677-680,共4页 Journal of Biomedical Engineering
基金 国家自然科学基金资助项目 ( 3 0 170 2 5 9) 辽宁省科学技术基金资助项目 ( 2 0 0 110 10 5 7)
关键词 知识发现 数据挖掘 粗糙集理论 信息系统 人工智能 Knowledge discovery in database Data mining Rough set theory
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参考文献19

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同被引文献21

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