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Special issue on data analysis methodologies for intelligent systems: guest editor's introduction

机译:智能系统数据分析方法论特刊:客座编辑介绍

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摘要

Modern data analytics enables one to meaningfully interpret the masses of raw data that is increasingly available to us through the advanced data gathering tools. Furthermore, increased computational power and ever more sophisticated algorithms let us reveal information that previously was inaccessible to us. The articles in this special issue all approach data analysis methodologies for intelligent systems from their individual perspectives, but together paint a picture of the power provided by empirical and analytical tools for building the intelligent systems of tomorrow. The application domains from which data is gathered are numerous, as are the formats in which the data is presented. The articles in this special issue cover, e.g., analysis of multi-instrument music data, relational database queries, graph data, and time series data.
机译:现代数据分析使人们能够有意义地解释通过高级数据收集工具对我们越来越可用的大量原始数据。此外,更高的计算能力和更复杂的算法使我们能够揭示以前无法访问的信息。本期特刊中的文章均从各自的角度探讨了智能系统的数据分析方法,但同时也描绘了经验和分析工具为构建明天的智能系统提供的强大功能。从中收集数据的应用程序域众多,呈现数据的格式也是如此。本期特刊中的文章涵盖,例如,多乐器音乐数据的分析,关系数据库查询,图形数据和时间序列数据。

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  • 来源
    《Journal of Intelligent Information Systems》 |2011年第3期|p.291-292|共2页
  • 作者单位

    Department of Software Systems, Tampere University of Technology, P.O. Box 553, Korkeakoulunkatu 1, 33101 Tampere, Finland;

    University of Economics, Prague W. Churchill Sq. 4,130 67 Prague, Czech Republic;

    University of Economics, Prague W. Churchill Sq. 4,130 67 Prague, Czech Republic;

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