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Keywords

spatial data mining, co-location pattern

Countries

China

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Employment (1)

Yunnan University of Finance And Economics: Kunming, CN

Employment
Source: Self-asserted source
Pingping Wu

Education and qualifications (1)

Yunnan University: Kunming, Yunnan, CN

2018-09-01 to 2023-06-08 (Department of Computer Science and Engineering)
Education
Source: Self-asserted source
Pingping Wu

Works (6)

Concept cognition over knowledge graphs: A perspective from mining multi-granularity attribute characteristics of concepts

Information Processing & Management
2025-07 | Journal article
DOI: 10.1016/j.ipm.2025.104095
Contributors: Xin Hu; Denan Huang; Jiangli Duan; Pingping Wu; Sulan Zhang; Wenqin Li
Source: check_circle
Crossref

Representative co-location pattern post-mining based on maximal row instances representation model

Knowledge-Based Systems
2024-10 | Journal article
DOI: 10.1016/j.knosys.2024.112237
Contributors: Pingping Wu; Lizhen Wang; Peizhong Yang; Xin Hu
Source: check_circle
Crossref

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

Intelligent Data Analysis
2023-01-30 | Journal article
DOI: 10.3233/ida-216515
Part of ISSN: 1088-467X
Part of ISSN: 1571-4128
Contributors: Muquan Zou; Lizhen Wang; Pingping Wu; Vanha Tran
Source: Self-asserted source
Pingping Wu

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

Information Sciences
2022-08 | Journal article
DOI: 10.1016/j.ins.2022.06.070
Part of ISSN: 0020-0255
Contributors: Pingping Wu; Lizhen Wang; Muquan Zou
Source: Self-asserted source
Pingping Wu

Spatial Co-Location Pattern Discovery from Fuzzy Objects

International Journal on Artificial Intelligence Tools
2017-04 | Journal article
DOI: 10.1142/s0218213017500038
Part of ISSN: 0218-2130
Part of ISSN: 1793-6349
Contributors: Zhiping Ouyang; Lizhen Wang; Pingping Wu
Source: Self-asserted source
Pingping Wu

Extracting Prevalent Co-location Patterns from Historic Spatial Data

Web-Age Information Management
2013 | Book chapter
DOI: 10.1007/978-3-642-39527-7_29
Part of ISBN: 9783642395260
Part of ISBN: 9783642395277
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Lizhen Wang; Pingping Wu; Gaofeng Fan; Yongheng Zhou
Source: Self-asserted source
Pingping Wu
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