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.
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
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