A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques

Distributed and Parallel Databases ◽

10.1007/s10619-021-07333-2 ◽

2021 ◽

Author(s):

Vanha Tran ◽

Lizhen Wang ◽

Lihua Zhou

Keyword(s):

Pattern Mining ◽

Location Pattern

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Spatial Co-Location Pattern Mining Based on Hesitant Fuzzy Location

Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering ◽

10.1145/3452940.3453031 ◽

2020 ◽

Author(s):

Minhui Huang ◽

Bo Wei ◽

Zhaowei Liu

Keyword(s):

Pattern Mining ◽

Location Pattern

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Maximal Instance Co-Location Pattern Mining Algorithms

10.1201/9781003139416-5 ◽

2021 ◽

pp. 85-102

Author(s):

Guoqing Zhou

Keyword(s):

Pattern Mining ◽

Location Pattern ◽

Mining Algorithms

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Negative Co-Location Pattern Mining Algorithms

10.1201/9781003139416-6 ◽

2021 ◽

pp. 103-115

Author(s):

Guoqing Zhou

Keyword(s):

Pattern Mining ◽

Location Pattern ◽

Mining Algorithms

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A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard

Web Information Systems Engineering – WISE 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-02925-8_17 ◽

2018 ◽

pp. 240-250 ◽

Cited By ~ 2

Author(s):

Peizhong Yang ◽

Lizhen Wang ◽

Xiaoxuan Wang ◽

Yuan Fang

Keyword(s):

Pattern Mining ◽

Location Pattern

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Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects

International Journal of Geographical Information Science ◽

10.1080/13658816.2016.1194423 ◽

2016 ◽

Vol 31 (2) ◽

pp. 280-296 ◽

Cited By ~ 29

Author(s):

Wenhao Yu ◽

Tinghua Ai ◽

Yakun He ◽

Shiwei Shao

Keyword(s):

Pattern Mining ◽

Distance Decay ◽

Location Pattern ◽

Points Of Interest

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A clique-based approach for co-location pattern mining

Information Sciences ◽

10.1016/j.ins.2019.03.072 ◽

2019 ◽

Vol 490 ◽

pp. 244-264 ◽

Cited By ~ 8

Author(s):

Xuguang Bao ◽

Lizhen Wang

Keyword(s):

Pattern Mining ◽

Location Pattern

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Discovering Congestion Propagation Patterns by Co-location Pattern Mining

Web and Big Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-01298-4_5 ◽

2018 ◽

pp. 46-55 ◽

Cited By ~ 1

Author(s):

Ying He ◽

Lizhen Wang ◽

Yuan Fang ◽

Yurui Li

Keyword(s):

Pattern Mining ◽

Location Pattern

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The effect of spatial autocorrelation on spatial co-location pattern mining

2017 International Conference on Computer, Information and Telecommunication Systems (CITS) ◽

10.1109/cits.2017.8035297 ◽

2017 ◽

Author(s):

Jiangli Duan ◽

Lizhen Wang ◽

Xin Hu

Keyword(s):

Spatial Autocorrelation ◽

Pattern Mining ◽

Location Pattern

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Spatial Interestingness Measures for Co-location Pattern Mining

2012 IEEE 12th International Conference on Data Mining Workshops ◽

10.1109/icdmw.2012.116 ◽

2012 ◽

Cited By ~ 9

Author(s):

Christian Sengstock ◽

Michael Gertz ◽

Tran Van Canh

Keyword(s):

Pattern Mining ◽

Interestingness Measures ◽

Location Pattern

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On the Relationships between Clustering and Spatial Co-location Pattern Mining

2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) ◽

10.1109/ictai.2006.91 ◽

2006 ◽

Cited By ~ 10

Author(s):

Yan Huang ◽

Pusheng Zhang

Keyword(s):

Pattern Mining ◽

Location Pattern

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