Muquan Zou

Orcid: 0000-0002-7301-6148

According to our database¹, Muquan Zou authored at least 9 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

MTRM: A Web-Miner Multi-Threshold Mining Co-location Patterns to Mitigate Redundancy.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024

Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-Wise Clustering and MC-Hash Structure.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence, 2024

An Efficient Clique-Based Level-Wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023

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

[BibT_eX]

[DOI]

Intell. Data Anal., 2023

Mining Maximal High Utility Co-location Patterns from Large-Scale Spatial Data.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022

A maximal ordered ego-clique based approach for prevalent co-location pattern mining.

[BibT_eX]

[DOI]

Pingping Wu

Lizhen Wang

Muquan Zou

Inf. Sci., 2022

Mining Type-β Co-Location Patterns on Closeness Centrality in Spatial Data Sets.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2022

Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2019

Vector-Degree: A General Similarity Measure for Co-location Patterns.

[BibT_eX]

[DOI]

Pingping Wu

Lizhen Wang

Muquan Zou

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Muquan Zou

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