| 大规模数据库中的知识获取 |
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| 引用本文： | 丁德恒.大规模数据库中的知识获取[J].计算机科学,1994,21(5):48-50. |
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| 作者姓名： | 丁德恒 |
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| 作者单位： | 中山大学计算机科学系 广州 |
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| 摘 要： | 一、前言数据是知识的潭泉,拥有大量的数据与拥有许多有用的知识完全是两回事.为了有效地利用大量的公共数据,必须更好地理解这些数据,并从其中快速、准确地发现知识.这里所说的知识是指大量数据中存在的规律性(r egularity)或不同属性值之间所存在的I F THEN〕规则.将所获取的知识附加于仅由事实数据(fact data)构成的传统数据库上,既可强化数据库的查询能力,又可给数据库提供推理能力,
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| 关 键 词： | 数据库 知识获取 人工智能 |
Knowledge Discovery in Large Databases |
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| Ding Deheng.Knowledge Discovery in Large Databases[J].Computer Science,1994,21(5):48-50. |
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| Authors: | Ding Deheng |
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| Affiliation: | Ding Deheng |
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| Abstract: | Knowledge discovery in large databases is a developing area which would have a lot of applications in many real fields. In this paper,the relation between knowledge dicovery and machine learning are analyzed. While we introduced its present situation and some problems to exist, the tactics we should take are proposed. In last,a system frame is given. |
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| Keywords: | Database Knowledge base Knowledge discovery Machine learning |
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