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Study on the Application of Data Mining Technology in Software Knowledge Base

机译:数据挖掘技术在软件知识库中的应用研究

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With the rapid development of normalization, computer database system has related to various aspects of social life, which leads to an explosive growth of industrial data. Faced with massive data, computers with limited storage have to abandon some out-dated data. However, these data include much valuable information. Faced with this difficulty, data mining technology comes into being for application. It is an interdisciplinary subject combining database, artificial intelligence, machinery study and statistics and so on with basic functions of correlation analysis, classification analysis, clustering analysis and exception analysis and so on. Meanwhile, various tools related to data mining is becoming mature. In this paper, origins, classical algorithm and application of data mining technology are introduced briefly. Then software engineering is also introduced with application of data mining technology in the enormous software engineering knowledge base.
机译:随着归一化的快速发展,计算机数据库系统与社会生活的各个方面有关,这导致工业数据的爆炸性增长。面对大量数据,存储空间有限的计算机必须放弃一些过时的数据。但是,这些数据包括许多有价值的信息。面对这个困难,数据挖掘技术进入了应用。它是一个结合数据库,人工智能,机械研究和统计数据库的跨学科主题,依据相关分析,分类分析,聚类分析和异常分析等基本功能。同时,与数据挖掘相关的各种工具正在变得成熟。在本文中,简要介绍了数据挖掘技术的起源,古典算法和应用。然后,在巨大的软件工程知识库中还介绍了软件工程。

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