基于sql的关系数据库挖掘技术综述

Yuexiao Teng
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引用次数: 0

摘要

数据库挖掘的目的是发现数据库中隐藏的、潜在的有用知识,具有广泛的应用前景。基于sql的挖掘关系数据库是其分支之一,它利用标准查询语言对数据集进行挖掘。然而,由于很少有调查研究强调这一非常具体的领域,目前很少有文献综述进行调查,总结或批评这一领域。为了填补这一存在的空白,本文以1990年以来的学术研究论文为基础,进行了一次原创的批判性回顾。据笔者所知,这是第一次对基于sql的关系数据库挖掘进行批判性的回顾。这篇综述突出了一个优点和一个改进点,并以相反的时间顺序组织。回顾结果表明,自1990年以来,已经有一些利用SQL挖掘关系数据库的研究工作。几乎所有这些都是经验的,其中一些是基于标准SQL的扩展,然而所有的研究或提议的系统都不支持分布式关系数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Critical Review of SQL-Based Mining Relational Database
Mining database aims to discover hidden, yet potentially useful knowledge in database and it has many applications. SQL-based mining relational database is one of its branches, which takes advantage of Standard Query Language to mine datasets. However, due to the little survey research emphasis on this very specific area, currently few literature review has been conducted to investigate, summarize or critique this field. In order to fill this existing gap, in this paper, an original critical review has been carried out, which is based on academic research papers since 1990. To author’s best knowledge, it is the first time to conduct such a review in a critical way regarding SQL-based mining relational database. This review highlights a strong point and a point of improvement and organized in a reversely chronologic order. The review result shows that since 1990, there have been some research work done to mine relational database by SQL. Almost all of it was empirical and some of it was based on the extension of the standard SQL, however all of research or proposed systems did not support distributed relational databases.
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