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Research article

First published 2022-7

Mining spatial high-average utility co-location patterns from spatial data sets

Jinhong Li, Lizhen Wang, Hongmei Chen [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2023-1

Efficiently mining maximal l -reachability co-location patterns from spatial data sets

Muquan Zou, Lizhen Wang, Pingping Wu [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2018-5

Mining spatial–temporal motion pattern for vessel recognition

Lu Sun, Wei Zhou, Jian Guan [...]

International Journal of Distributed Sensor Networks

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Research article

First published 2025

Discovering worthy spatial co-location patterns based on pattern distributions through clustering

Xuguang Bao, Yongming Huang, Shuaikang Yuan [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2019-3

A framework for generating condensed co-location sets from spatial databases

Jin Soung Yoo, Mark Bow

Intelligent Data Analysis: An International Journal

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Research article

First published 2025-11

A detection of multi-level co-location patterns based on column calculation and HDBSCAN clustering

Ting Yang, Lizhen Wang, Lihua Zhou [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2018-2

Framework of blog data based multi-criteria weighted points of interest graph for trip planning

Erum Haris, Keng Hoon Gan

Intelligent Decision Technologies

Open access

Research article

First published 2021-11

Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in Dongguan,China

Zihui Liu, Xinyue Chen, Weipan Xu [...]

Environment and Planning B: Urban Analytics and City Science

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Research article

First published 2019-11-22

Mining spatial colocations from image-objects: A tensor factorization approach

S. Saritha, G. Santhosh Kumar

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2014-7

Finding longest frequent trajectory of dynamic objects using association approaches

Arthur A. Shaw, N.P. Gopalan

Intelligent Data Analysis: An International Journal

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