The Application of Extension Data Mining in Behavior Type Guide Residential Door Model Design

来源 :11th International Symposium on Environment‐Behavior Researc | 被引量 : 0次 | 上传用户:ZZC9919
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  This article from the perspective of cross-disciplinary,selects a residential district as the research object in Changchun,a residential area residents to behavior type guide residential door model design,through field investigation,questionnaire and the extension data mining methods,excavated in the law of the behavior and characteristics,and analysis of the factors of influence in this behavior,behavior characteristics and living within grasp their house demand,on the basis of summed up the corresponding residential door model design.This article research goal lies in the limited living space,improve efficiency room,dug up to meet the current peoples behavior patterns within the residential door model design.And the method of extension data mining is first applied to the residential indoor behavior pattern research,so as to provide objective basis for the future residential construction design and practice reference.At this point,the designers can not only make qualitative and quantitative analysis on door model design,can also according to the laws of the excavated implied information and take corresponding measures to make door model design conforms to the behavior characteristics of family members.Previous door model design,architects are mostly based on experience and intuition on the basis of personal preference and subjective,its way of thinking and logic basis relies on the burst of inspiration,this is not conducive to residential door model design on the path of scientific and intelligent development.Exampled by a certain residential area of Changchun city residentsbehavior characteristics as the research object,by means of extension data mining method to classify indoor behavior data research,attempts to residents in the relationship between behavior and door model design for an empirical study,in order to analysis and solve the conflict problems between behavior characteristic and the door model design.
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