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基于分形维数的数据挖掘技术研究综述 被引量：7

A Survey of the Research about Data Mining Technology Based on Fractal Dimension
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摘要 分形维数在数据挖掘领域起着非常特殊的作用,它能有效地描述数据集,能反映复杂数据集中隐藏的规律性,基于分形维数的数据挖掘技术研究越来越受到人们的广泛关注。本文首先介绍了数据集的分形维数,进而在此基础上重点介绍了几种基于分形维数的数据挖掘技术,并对每种技术的特点进行了阐述,最后指出今后的发展方向。 Fractal dimension plays a very special role in data mining area. It can describe the data set effectively and can reflect the hidden regularity of the complex data set. Data mining technology based on fractal dimension has recently gained increasing attention all over the world. This paper first introduces the fractal dimension of the data set. Then focuses on some of the data mining technology based on fractal dimension and describes the characteristics of each technology. Finally points out the direction for the future development.
作者 倪丽萍 倪志伟 吴昊 叶红云
机构地区 合肥工业大学管理学院
出处 《计算机科学》 CSCD 北大核心 2008年第1期187-189,共3页 Computer Science
基金 国家自然科学基金重点项目(70631003)资助
关键词 分形 分形维数 数据挖掘 Fractal Fractal dimension, Data mining
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献17

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二级参考文献32

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