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Data mining from 1994 to 2004: an application-orientated review

机译:1994年至2004年的数据挖掘:面向应用的评论

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Data mining, which is also known as knowledge discovery, is one of the most popular topics in information technology. It concerns the process of automatically extracting useful information and has the promise of discovering hidden relationships that exist in large databases. These relationships represent valuable knowledge that is crucial for many applications. This paper presents a review of works on current applications of data mining, which focus on four main application areas, including bioinformatics data, information retrieval, adaptive hypermedia, and electronic commerce. How data mining can enhance functions for these four areas is described. The reader of this paper is expected to get an overview of the state-of-the-art research associated with these applications. Furthermore, we identify the limitations of current works and raise several directions for future research.
机译:数据挖掘,也称为知识发现,是信息技术中最流行的主题之一。它涉及自动提取有用信息的过程,并有望发现大型数据库中存在的隐藏关系。这些关系代表了对于许多应用程序至关重要的宝贵知识。本文介绍了数据挖掘当前应用的工作回顾,这些工作集中在四个主要应用领域,包括生物信息学数据,信息检索,自适应超媒体和电子商务。描述了数据挖掘如何增强这四个领域的功能。希望本文的读者对与这些应用程序相关的最新研究有所了解。此外,我们确定了当前工作的局限性,并提出了未来研究的几个方向。

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