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Articles

Multi-level method for discovery of regional co-location patterns

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Pages 1846-1870 | Received 27 Oct 2015, Accepted 22 May 2017, Published online: 08 Jun 2017

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Wenkai Liu, Qiliang Liu, Min Deng, Jiannan Cai & Jie Yang. (2022) Discovery of statistically significant regional co-location patterns on urban road networks. International Journal of Geographical Information Science 36:4, pages 749-772.
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Zhanjun He, Min Deng, Jiannan Cai, Zhong Xie, Qingfeng Guan & Chao Yang. (2020) Mining spatiotemporal association patterns from complex geographic phenomena. International Journal of Geographical Information Science 34:6, pages 1162-1187.
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Jiannan Cai, Min Deng, Qiliang Liu, Yuanfang Chen, Zhanjun He & Jianbo Tang. (2019) A statistical method for detecting spatiotemporal co-occurrence patterns. International Journal of Geographical Information Science 33:5, pages 967-990.
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Mengjie Zhou, Tinghua Ai, Chao Wu, Yuli Gu & Na Wang. (2019) A visualization approach for discovering colocation patterns. International Journal of Geographical Information Science 33:3, pages 567-592.
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Xiaojing Yao, Liujia Chen, Congcong Wen, Ling Peng, Liang Yang, Tianhe Chi, Xiaomeng Wang & Wenhao Yu. (2018) A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references. International Journal of Geographical Information Science 32:5, pages 980-1005.
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Lizhen Wang, Vanha Tran & Thanhcong Do. (2023) A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates. ACM Transactions on Knowledge Discovery from Data 18:1, pages 1-42.
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Ryo Inoue, Shino Shiode & Narushige Shiode. (2023) Colocations of spatial clusters among different industries. Computational Urban Science 3:1.
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Dongsheng Wang, Lizhen Wang, Xiwen Jiang & Peizhong Yang. (2023) RCPM_CFI: A Regional Core Pattern Mining Method Based on Core Feature Influence. Information Sciences, pages 119895.
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Xiwen Jiang, Lizhen Wang, Junyi Li, Hongmei Chen & Vanha Tran. (2023) A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings. A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings.
希文 蒋, 丽珍 王 & Vanha TRAN. (2023) A parallel algorithm for regional co-location mining based on fuzzy density peak clustering. SCIENTIA SINICA Informationis.
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Vanha Tran. (2023) Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data. Expert Systems with Applications 213, pages 119255.
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Vanha Tran. 2023. Knowledge Management and Acquisition for Intelligent Systems. Knowledge Management and Acquisition for Intelligent Systems 15 28 .
Jinpeng Zhang, Lizhen Wang, Vanha Tran & Wenlu Lou. 2023. Big Data and Social Computing. Big Data and Social Computing 22 36 .
Vanha Tran, Lizhen Wang, Jinpeng Zhang & Thanhcong Do. 2023. Advanced Data Mining and Applications. Advanced Data Mining and Applications 401 416 .
Dongsheng Wang, Lizhen Wang & Peizhong Yang. 2023. Database Systems for Advanced Applications. Database Systems for Advanced Applications 663 668 .
Yan Li, Yiqun Xie & Shashi Shekhar. 2023. Machine Learning for Data Science Handbook. Machine Learning for Data Science Handbook 401 422 .
Pingping Wu, Lizhen Wang & Muquan Zou. (2022) A maximal ordered ego-clique based approach for prevalent co-location pattern mining. Information Sciences 608, pages 630-654.
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Zisong Hu, Lizhen Wang, Vanha Tran & Hongmei Chen. (2022) Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Information Sciences 592, pages 361-388.
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Wenhao Yu, Jiaxin Chen & Cheng Wei. (2022) A hierarchical learning model for inferring the labels of points of interest with unbalanced data distribution. International Journal of Applied Earth Observation and Geoinformation 108, pages 102751.
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Haiping Zhang, Xingxing Zhou, Guoan Tang, Xueying Zhang, Jing Qin & Liyang Xiong. (2021) Detecting Colocation Flow Patterns in the Geographical Interaction Data. Geographical Analysis 54:1, pages 84-103.
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Lizhen Wang, Yuan Fang & Lihua ZhouLizhen Wang, Yuan Fang & Lihua Zhou. 2022. Preference-based Spatial Co-location Pattern Mining. Preference-based Spatial Co-location Pattern Mining 11 48 .
Zihui Liu, Xinyue Chen, Weipan Xu, Yimin Chen & Xun Li. (2021) Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan, China. Environment and Planning B: Urban Analytics and City Science 48:9, pages 2827-2841.
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Vanha Tran, Lizhen Wang, Hongmei Chen & Qing Xiao. (2021) MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm. Expert Systems with Applications 175, pages 114830.
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Guoqing Zhou, Qi Li & Guangming Deng. (2021) Maximal Instance Algorithm for Fast Mining of Spatial Co-Location Patterns. Remote Sensing 13:5, pages 960.
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Zhanjun He, Min Deng, Zhong Xie, Liang Wu, Zhanlong Chen & Tao Pei. (2020) Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining. Cities 99, pages 102612.
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Yimin Chen, Xinyue Chen, Zihui Liu & Xia Li. (2020) Understanding the spatial organization of urban functions based on co-location patterns mining: A comparative analysis for 25 Chinese cities. Cities 97, pages 102563.
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萍萍 吴. (2018) Research on Spatial Co-Locations Mining: A Survey. Computer Science and Application 08:03, pages 328-338.
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Pingping Wu, Lizhen Wang, Wenjing Yang & Zhulin Su. 2018. Geo-Spatial Knowledge and Intelligence. Geo-Spatial Knowledge and Intelligence 472 481 .
Yiqun Xie, Emre Eftelioglu, Reem Ali, Xun Tang, Yan Li, Ruhi Doshi & Shashi Shekhar. (2017) Transdisciplinary Foundations of Geospatial Data Science. ISPRS International Journal of Geo-Information 6:12, pages 395.
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