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科技导报 | 论文 2004,22(0407): 54-56
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科技导报 |论文 2004 , 22 (0407) : 54 -56
智能数据分析中的异常数据管理
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姚卫新, 黄丽华
作者信息
    复旦大学管理学院,上海200433
OUTLIER MANAGEMENT OF INTELLIGENT DATA ANALYSIS
  • YAO Wei-xin, HUANG Li-hua
  • Affiliations
      Management School, Fudan University, Shanghai 200433, China
    出版时间: 2004-07-10
    文章导航
    收藏切换
    数据是信息时代的重要资源,智能数据分析为发掘它自身的价值起到了很大的作用,但异常数据却给智能数据分析带来了新的挑战。本文提出了异常数据的管理方法,包括不同类型异常数据的分类方法、蕴知性异常数据的筛选方法、从源头上减少噪音性异常数据的方法,以及当前对异常数据进行研究所必须采取的措施。
    异常数据  /  管理  /  智能数据分析
    Data is one of critical resources in the information era. Intelligent data analysis is being challenged by outlier though it can mine valuable information from data.This paper proposes a management method of the outliers which includes the distinction of different outliers, identification of the outliers containing knowledge, reduction of noise the outliers from source.It also points out some measures necessary to be taken in the research of outlier.
    outlier  /  management  /  intelligent data analysis
    姚卫新;黄丽华. 智能数据分析中的异常数据管理. 科技导报, 2004 , 22 (0407) : 54 -56 .
    YAO Wei-xin;HUANG Li-hua. OUTLIER MANAGEMENT OF INTELLIGENT DATA ANALYSIS[J]. Science & Technology Review, 2004 , 22 (0407) : 54 -56 .

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    2种不同金属材料的力学参数

    Family
    属数
    Number of
    genus
    种数
    Number of
    species
    占总种数比例
    Percentage of
    total species (%)

    Genus
    种数
    Number of
    species
    占总种数比例
    Percentage of total
    species (%)
    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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