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.
Crossref
Ryo Inoue, Shino Shiode & Narushige Shiode. (2023) Colocations of spatial clusters among different industries. Computational Urban Science 3:1.
Crossref
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.
Crossref
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.
Crossref
Vanha Tran. (2023) Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data. Expert Systems with Applications 213, pages 119255.
Crossref
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.
Crossref
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.
Crossref
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.
Crossref
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.
Crossref
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.
Crossref
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.
Crossref
Guoqing Zhou, Qi Li & Guangming Deng. (2021) Maximal Instance Algorithm for Fast Mining of Spatial Co-Location Patterns. Remote Sensing 13:5, pages 960.
Crossref
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.
Crossref
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.
Crossref
萍萍 吴. (2018) Research on Spatial Co-Locations Mining: A Survey. Computer Science and Application 08:03, pages 328-338.
Crossref
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.
Crossref