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Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining

机译:信息挖掘-对最新进展的反思以及数据,文本和媒体挖掘的未来之路

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摘要

In this introduction, we briefly summarize the state of data and text mining today. Taking a very broad view, we use the term information mining to refer to the organization and analysis of structured or unstructured data that can be quantitative, textual, and/or pictorial in nature. The key question, in our view, is, "How can we transform data (in the very broad sense of this term) into 'actionable knowledge', knowledge that we can use in pursuit of a specified objective(s)." After detailing a set of key components of information mining, we introduce each of the papers in this volume and detail the focus of their contributions.
机译:在本简介中,我们简要总结了当今数据和文本挖掘的状态。从广义上讲,我们使用信息挖掘一词来指代结构化或非结构化数据的组织和分析,这些数据本质上可以是定量的,文本的和/或图片的。我们认为,关键的问题是,“我们如何将数据(从广义上来说)转换为'可操作的知识',即我们可以用来实现特定目标的知识。”在详细介绍了信息挖掘的一组关键组件之后,我们介绍了本卷中的每篇论文,并详细介绍了其贡献的重点。

著录项

  • 来源
    《Decision support systems》 |2011年第4期|p.727-731|共5页
  • 作者单位

    Department of Operations and Information Management, School of Business, University of Connecticut, United States;

    Department of Operations and Information Management,School of Business, University of Connecticut, United States Katholieke Universiteit Leuven, Faculty of Business and Economics, Department of Decision Sciences and Information Management, Belgium;

    Katholieke Universiteit Leuven, Faculty of Business and Economics,Department of Decision Sciences and Information Management, Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    data mining; text mining; media mining; information mining; opinion and sentiment analysis;

    机译:数据挖掘;文本挖掘;媒体挖掘;信息挖掘;意见和情感分析;
  • 入库时间 2022-08-18 02:14:03

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