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面向可拓建筑设计的数据准备流程与方法
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刘书宇, 邹广天, 周舟, 肖俊龙
科技导报 | 专题论文 2014,32(36): 37-42
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科技导报 | 专题论文 2014, 32(36): 37-42
面向可拓建筑设计的数据准备流程与方法
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刘书宇, 邹广天, 周舟, 肖俊龙
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通讯作者:

邹广天, 教授, 研究方向为建筑计划学、可拓建筑学、建筑设计创新学、环境行为心理学等, 电子信箱:zougt@hit.edu.cn
Process and Methods of Data Preparation for Extension Architecture Design
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出版时间: 2014-12-28 doi: 10.3981/j.issn.1000-7857.2014.36.005
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为面向可拓建筑设计进行可拓数据挖掘, 以可拓建筑设计数据为对象, 探讨将其转化为高质量的结构数据的流程与方法。根据跨行业数据挖掘标准流程(CRISP-DM), 建立包括基元化表达、数据表设计、数据筛选、数据形式变换、变量标准化处理和变量维数约简6 个步骤的数据准备流程, 并根据建筑学专业特点, 结合可拓学、几何学、统计学理论, 设计各步骤的操作方法, 构建出完整的数据准备流程与方法。案例检验结果表明, 按照该流程及其操作方法, 可有效地将可拓建筑设计数据转化为统一格式、高信度、量化且可运算的结构数据。
可拓建筑设计  /  数据准备  /  结构数据
The process and method of transforming extension architecture design data into structured data are investigated in order to execute extension data mining on the extension architecture design. According to the cross-industry standard process for data mining (CRISP-DM), a 6-stage data preparation process is built, which includes expression in basic-element form, data sheet design, data filtering, data form transform, standardization of variables, and variable dimension reduction. According to the characteristic of architecture, the methods for each stage are established by referring to extenics, geometry, statistics, etc. Finally, an integral data preparation system of the process and methods is constructed.
extension architecture design  /  data preparation  /  structured data
刘书宇, 邹广天, 周舟, 肖俊龙. 面向可拓建筑设计的数据准备流程与方法. 科技导报, 2014 , 32 (36) : 37 -42 . DOI: 10.3981/j.issn.1000-7857.2014.36.005
LIU Shuyu, ZOU Guangtian, ZHOU Zhou, XIAO Junlong. Process and Methods of Data Preparation for Extension Architecture Design[J]. Science & Technology Review, 2014 , 32 (36) : 37 -42 . DOI: 10.3981/j.issn.1000-7857.2014.36.005
2014年第32卷第36期
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doi: 10.3981/j.issn.1000-7857.2014.36.005
  • 接收时间:2014-10-10
  • 首发时间:2015-01-09
  • 出版时间:2014-12-28
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  • 收稿日期:2014-10-10
  • 修回日期:2014-11-30
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邹广天, 教授, 研究方向为建筑计划学、可拓建筑学、建筑设计创新学、环境行为心理学等, 电子信箱:zougt@hit.edu.cn
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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
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占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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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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