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International Journal of Geographical Information Science Volume 35, 2021 - Issue 3
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Research Articles

An adaptive detection of multilevel co-location patterns based on natural neighborhoods

Qiliang Liua Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha, Hunan, P.R. China;b Department of Geo-informatics, Central South University, Changsha, Hunan, P.R. ChinaView further author information
,
Wenkai Liub Department of Geo-informatics, Central South University, Changsha, Hunan, P.R. ChinaView further author information
,
Min Dengb Department of Geo-informatics, Central South University, Changsha, Hunan, P.R. ChinaCorrespondence[email protected]
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,
Jiannan Caib Department of Geo-informatics, Central South University, Changsha, Hunan, P.R. ChinaORCID Iconhttps://orcid.org/0000-0003-4752-0153View further author information
ORCID Icon &
Yaolin Liuc School of Resource and Environmental Science, Wuhan University, Wuhan, P.R. ChinaView further author information
Pages 556-581 | Received 16 Dec 2019, Accepted 24 May 2020, Published online: 16 Jun 2020

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Jie Yang, Qiliang Liu & Min Deng. (2023) Spatial hotspot detection in the presence of global spatial autocorrelation. International Journal of Geographical Information Science 37:8, pages 1787-1817.
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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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Articles from other publishers (9)

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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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.
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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Jinpeng Zhang, Lizhen Wang, Vanha Tran & Wenlu Lou. 2023. Big Data and Social Computing. Big Data and Social Computing 22 36 .
Qiliang Liu, Weihua Huan & Min Deng. (2022) A Method with Adaptive Graphs to Constrain Multi-View Subspace Clustering of Geospatial Big Data from Multiple Sources. Remote Sensing 14:17, pages 4394.
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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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培忠 杨, 丽珍 王, 晓璇 王 & 丽华 周. (2022) A spatial co-location pattern mining approach based on column calculation. SCIENTIA SINICA Informationis 52:6, pages 1053.
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Vanha Tran, Lizhen Wang, Shiyu Zhang, Jinpeng Zhang & SonTung Pham. 2022. Advanced Data Mining and Applications. Advanced Data Mining and Applications 413 428 .

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