| 数据挖掘研究现状及最新进展 |
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| 引用本文： | 章成志.数据挖掘研究现状及最新进展[J].南京工业职业技术学院学报,2003,3(2):1-5. |
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| 作者姓名： | 章成志 |
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| 作者单位： | 南京工业职业技术学院,工商管理系,江苏,南京,210016 |
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| 摘 要： | 随着Internet和大型数据库的出现,“信息爆炸但知识匮乏”的问题日益显著。如何从海量无序的数据中迅速、准确地提取有用信息和知识,创造更大的效益是一个迫切需要研究的课题。因此,数据挖掘应运而生,成为一个新的研究领域。本文对数据挖掘研究及最新进展从三个方面进行综述,总结了数据挖掘的应用现状,然后介绍了作者等人的相关研究工作,最后提出了数据挖掘未来研究方向。
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| 关 键 词： | 数据挖掘 决策树 关联规则 Web挖掘 概念挖掘 |
| 文章编号： | 1671-4644(2003)02-0001-05 |
| 修稿时间： | 2003年4月15日 |
Current State of Data Mining Research and Its Latest Advance |
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| ZHANG Cheng- zhi.Current State of Data Mining Research and Its Latest Advance[J].Journal of Nanjing Institute of Industry Technology,2003,3(2):1-5. |
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| Authors: | ZHANG Cheng- zhi |
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| Abstract: | With the emergence of Internet and large databases, a conflict has arisen from "astronomical information but poor knowledge" . How to quickly and exactly discover the useful information and knowledge and get more benefits, has become a key research topic. So, data mining is proposed with a new study field developed. Research on data mining with its current state and the advances is summarized in this paper. This paper presents the relevant study in this field and discusses the development tendency of data mining. |
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| Keywords: | data mining decision trees association rules web mining concept mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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