Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining
Traditional settlements are widely concerned by academic circles for their unique settlement patterns, exquisite residential buildings, and rich historical and cultural connotations, and their protection and development is an important proposition for rural revitalization. Therefore, from the perspe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/3528605 |
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| _version_ | 1832566306015019008 |
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| author | Lin Chen Xiaolong Chen Hongxin Wang Lin Zhu Lingyun Lang |
| author_facet | Lin Chen Xiaolong Chen Hongxin Wang Lin Zhu Lingyun Lang |
| author_sort | Lin Chen |
| collection | DOAJ |
| description | Traditional settlements are widely concerned by academic circles for their unique settlement patterns, exquisite residential buildings, and rich historical and cultural connotations, and their protection and development is an important proposition for rural revitalization. Therefore, from the perspective of big data mining (BDM), this paper explores its application in architectural space and settlement protection of traditional settlements in Hainan and provides new ideas for the protection and renewal of traditional settlements in Hainan. The attribute elements of spatial data of settlement groups are analyzed by the decision tree classification mining method. In order to avoid the multivalued tendency of ID3 algorithm and improve the efficiency of decision tree generation by ID3 algorithm, an improved ID3 algorithm is proposed by introducing user interest and simplifying the calculation process of the algorithm. At the same time, the graph theory recognition method of grid pattern is proposed. Aiming at the intersection graph and direction relation graph of straight line pattern, grid pattern recognition is realized by solving the connectivity, intersection, and subsequent construction of the maximum complete subgraph. Experiments show that the improved ID3 algorithm has better running efficiency than the parallel algorithm based on cooccurrence matrix. The analysis of the architectural space of traditional settlements in Hainan will help us better grasp social activities and provide direction for the protection and renewal of traditional settlements from the perspective of tourists and residents. |
| format | Article |
| id | doaj-art-de6c6a1cbaf0464ba1a7439267f0c007 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-de6c6a1cbaf0464ba1a7439267f0c0072025-02-03T01:04:31ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/3528605Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data MiningLin Chen0Xiaolong Chen1Hongxin Wang2Lin Zhu3Lingyun Lang4International School of DesignInternational School of DesignInternational School of DesignHenan Kaifeng College of Science Technology and CommunicationZhengzhou University of TechnologyTraditional settlements are widely concerned by academic circles for their unique settlement patterns, exquisite residential buildings, and rich historical and cultural connotations, and their protection and development is an important proposition for rural revitalization. Therefore, from the perspective of big data mining (BDM), this paper explores its application in architectural space and settlement protection of traditional settlements in Hainan and provides new ideas for the protection and renewal of traditional settlements in Hainan. The attribute elements of spatial data of settlement groups are analyzed by the decision tree classification mining method. In order to avoid the multivalued tendency of ID3 algorithm and improve the efficiency of decision tree generation by ID3 algorithm, an improved ID3 algorithm is proposed by introducing user interest and simplifying the calculation process of the algorithm. At the same time, the graph theory recognition method of grid pattern is proposed. Aiming at the intersection graph and direction relation graph of straight line pattern, grid pattern recognition is realized by solving the connectivity, intersection, and subsequent construction of the maximum complete subgraph. Experiments show that the improved ID3 algorithm has better running efficiency than the parallel algorithm based on cooccurrence matrix. The analysis of the architectural space of traditional settlements in Hainan will help us better grasp social activities and provide direction for the protection and renewal of traditional settlements from the perspective of tourists and residents.http://dx.doi.org/10.1155/2022/3528605 |
| spellingShingle | Lin Chen Xiaolong Chen Hongxin Wang Lin Zhu Lingyun Lang Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining Discrete Dynamics in Nature and Society |
| title | Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining |
| title_full | Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining |
| title_fullStr | Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining |
| title_full_unstemmed | Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining |
| title_short | Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining |
| title_sort | research on spatial and dynamic planning methods for settlement buildings based on data mining |
| url | http://dx.doi.org/10.1155/2022/3528605 |
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