陈红梅｜云南大学｜学者主页

2026

Mining spatiotemporal dominant co-location patterns

Jiangchuan Mei, Peizhong Yang, Hongmei Chen, Lizhen Wang

Expert Systems With Applications，Vol. 298

DOI

2026

Learning inductive representations from LBSNs for next POI recommendation

Junzhe He, J S Liu, Hongmei Chen, Lihua Zhou, Lizhen Wang

Expert Systems with Applications

DOI

2026

Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases

Liuwei Li, Peizhong Yang, Lizhen Wang, Hongmei Chen

Data Science and Engineering

DOI

2026

Spatio-Temporal Semantic-Enhanced Contrastive Learning for Friend Recommendation

Yixin Ruan, Hongmei Chen, Peizhong Yang, Lizhen Wang

Lecture notes in computer science

DOI

2026

Discovering Rare Group-Oriented Spatio-Temporal Sequential Patterns

Yujing Gao, Peizhong Yang, Hongmei Chen, Lizhen Wang

IEEE International Conference on Big Data and Artificial Intelligence (BDAI)

DOI

2026

A Spectral Gap-Guided Eulerian Graph Rewiring Method for Heterogeneous Graph Embedding

Jin Zhao, Hongmei Chen, Peizhong Yang, Lizhen Wang

Lecture notes in computer science

DOI

2026

A prompt-based representation learning approach for heterogeneous graphs

Ting Zhang, Yuqing Song, Hongmei Chen, Lihua Zhou

Information Sciences

DOI

2026

A Decoder-Enhanced Autoencoder for Heterogeneous Graph Representation Learning

Yudi Zeng, Hongmei Chen, Lizhen Wang, Peizhong Yang

DOI

2026

Heterogeneous Graph Representation Learning Based on Attribute Completion and Semantic Awareness

Xiaolong He, Hongmei Chen, Qing Xiao

DOI

2026

Mining co-location evolving sequences from spatio-temporal data

Wenxin Duan, Peizhong Yang, Hongmei Chen, Lizhen Wang

Knowledge-Based Systems

DOI

2026

Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

Qian Zou, Lizhen Wang, Peizhong Yang, Hongmei Chen

Data Science and Engineering

DOI

2026

SDMC:A System for Analyzing Supply-Demand Matching in Community Life Circles

Zhangjun Wang, Kaikai Guo, Hongmei Chen, Lobsang Tashi

IEEE International Conference on Big Data and Smart Computing (BigComp)

DOI

2026

POF-HG: Fusion of Public Opinion Field Effect and Heterogeneous Hypergraph for Information Diffusion Prediction

Wei Yang, Wei Yang, Ji Zhang, Zhao Li, Yude Bai, Jia Wang, Hongmei Chen

Lecture notes in computer science

DOI

2026

Sustained Evolving Co-occurrence Pattern Mining

Liuwei Li, Peizhong Yang, Lizhen Wang, Hongmei Chen

Communications in computer and information science

DOI

2025

Mining regional co-location patterns in urban areas with considerations of temporal accessibility and regional structure

Junyi Li, Lizhen Wang, Peizhong Yang, Hongmei Chen

International Journal Of Geographical Information Science

DOI

2025

dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns

Junyi Li, Lizhen Wang, Hongmei Chen, Zhengbao Sun

Expert Systems With Applications，Vol. 261

DOI

2025

路径掩码自编码器引导无监督属性图节点聚类

丁新宇，孔兵，陈红梅，包崇明，周丽华

《计算机科学》

2025

基于数据增强的异质图注意力网络

杨应修，陈红梅，周丽华，肖清

《计算机科学》

2025

融合多视角信息的朋友关系预测方法

马志慧，陈红梅，杨培忠，王丽珍

《计算机科学与探索》

2025

Spatio-Temporal Graph Representation Learning for POI Recommendation

Jianting Liu, Hongmei Chen, Peizhong Yang, Lizhen Wang

Communications in computer and information science

DOI

2025

Learning User Embeddings from LBSN Augmented by Spatial-Temporal Constraints

Qun Zhang, Hongmei Chen, Peizhong Yang, Lizhen Wang, Lihua Zhou

DOI

2025

Robust co-location pattern mining in urban areas based on multi-path proximity consideration

Yonggui He, Peizhong Yang, Lizhen Wang, Hongmei Chen

Engineering Applications of Artificial Intelligence

DOI

2025

Mining Evolving Spatial Co-Location Patterns Based on Changed Maximal Cliques

Wenxin Duan, Peizhong Yang, Hongmei Chen, Lizhen Wang

DOI

2025

Community Search over Heterogeneous Information Networks: A Survey

Lihua Zhou, Jialong Wang, Yixin Song, Lizhen Wang, Hongmei Chen

ACM Computing Surveys

DOI

2025

An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns

Can Zhang Jin, Lizhen Wang, Peizhong Yang, Hongmei Chen

Communications in computer and information science

DOI

2025

Self-supervised learning of invariant causal representation in heterogeneous information network

Pei Zhang, Lihua Zhou, Yong Li, Hongmei Chen, Lizhen Wang

Information Fusion

DOI

2025

Graph contrastive clustering network with randomized Schur complement augmentation

Weifeng Ning, Bing Kong, Hongmei Chen, Chongming Bao, Lihua Zhou

DOI

2025

Heterogeneous Graph Embedding Based on Attribute-guided Semantic Augmentation

Yuhong Huang, Hongmei Chen, Peizhong Yang, Xutao Yang

DOI

2025

Improving Spatial Co-location Pattern Mining with Enhanced Neighbor Relationship Measures

Liang Xu, Lizhen Wang, Vanha Tran, Hongmei Chen

Communications in computer and information science

DOI

2024

基于主题声望和动态异构网络的学术影响力排序算法

陈潘，陈红梅，罗川

《计算机科学》

2024

基于知识图谱的兴趣捕捉推荐算法

金宇，陈红梅，罗川

《计算机科学》

2024

融入时间信息的预训练序列推荐方法

陈稳中，陈红梅，周丽华，方圆

《计算机科学》

2024

异质信息网络中基于解耦图神经网络的社区搜索

陈伟，周丽华，王亚峰，王丽珍，陈红梅

《计算机科学》

2024

PMPRec: A Pre-training encoder based on Meta-Path for Recommendation

Wenbing Zhang, Hongmei Chen, Qing Xiao, Lihua Zhou, Lizhen Wang

DOI

2024

A fast multi-level co-location pattern mining approach based on extended maximal cliques

Jinjia Dai, Lijin Tang, Lizhen Wang, Lihua Zhou, Hongmei Chen

DOI

2024

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension

Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen

Information Sciences

DOI

2024

Local Co-location Pattern Mining Based on Regional Embedding

Yumming Zeng, Lizhen Wang, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2024

Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders

Bingchen Guo, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao

Lecture notes in computer science

DOI

2024

Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks

Jinyang Wei, Lihua Zhou, Lizhen Wang, Hongmei Chen, Qing Xiao

Lecture notes in computer science

DOI

2024

Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks

Yiwei Yu, Lihua Zhou, Chao Liu, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2024

Mining Regional High Utility Co-location Pattern

Meiyu Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao

Lecture notes in computer science

DOI

2023

基于地理偏好排序的兴趣点混合推荐模型

彭诗杰，陈红梅，王丽珍，肖清

《计算机应用》

2023

An Empirical Evaluation of Algorithms for Link Prediction

Tong Huang, Lihua Zhou, Kevin Lü, Lizhen Wang, Hongmei Chen, Guowang Du

Information Systems Frontiers

DOI

2023

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions

Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

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

Vanha Tran, Lizhen Wang, Muquan Zou, Hongmei Chen

Lecture notes in computer science

DOI

2023

CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks

Yulong Ma, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao

Lecture notes in computer science

DOI

2023

Continuous Sub-prevalent Co-location Pattern Mining

Qilong Wang, Hongmei Chen, Lizhen Wang

Lecture notes in computer science

DOI

2023

Adaptive Heterogeneous Graph Contrastive Clustering with Multi-similarity

Chao Liu, Bing Kong, Yiwei Yu, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2023

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion

Yongchao Lu, Bing Kong, Guowang Du, Congming Bao, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2022

异质信息网络表征学习综述

周丽华，王家龙，王丽珍，陈红梅，孔兵

《计算机学报》

2022

星型高影响的空间co-location模式挖掘

马董，李新源，陈红梅，肖清

《计算机科学》

2022

空间co-location模式的主导特征挖掘

熊开放，陈红梅，王丽珍，肖清

《计算机科学》

2022

Mining fuzzy sub-prevalent co-location pattern with dominant feature

Kaifang Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)

DOI

2022

Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques

Zisong Hu, Lizhen Wang, Vanha Tran, Hongmei Chen

Information Sciences

DOI

2022

Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure

Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion

Shaokai Xu, Lihua Zhou, Jianfeng Xu, Lizhen Wang, Hongmei Chen

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

Diversified Top-k Spatial Pattern Matching

Jiahua Xie, Hongmei Chen, Lizhen Wang

Lecture notes in computer science

DOI

2021

极小负co-location模式及有效的挖掘算法

王光耀，王丽珍，杨培忠，陈红梅

《计算机科学与探索》

2021

基于空间序偶模式挖掘污染源与癌症病例的关系

谢旺，王丽珍，陈红梅，曾兰清

《数据分析与知识发现》，No. 2

下载原文

2021

Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou, Hongmei Chen

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)

DOI

2021

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory

Xiaoxuan Wang, Le Lei, Lizhen Wang, Peizhong Yang, Hongmei Chen

IEEE Transactions on Fuzzy Systems

DOI

2021

MAHS: A System for Mining and Analysing Hot-Spots from Bike-Sharing Data

Yage Wang, Ma Dong, Hongmei Chen, Lihua Zhou

Lecture notes on data engineering and communications technologies

DOI

2020

基于粗糙集和距离动态模型的重叠社区发现方法

张琴，陈红梅，封云飞

《计算机科学》

2020

一种基于粗糙集和密度峰值的重叠社区发现方法

张琴，陈红梅，封云飞

《计算机科学》

2020

ESPM: Efficient Spatial Pattern Matching (Extended Abstract)

Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang

Proceedings - International Conference on Data Engineering

DOI

2019

基于特征效用参与率的空间高效用co-location模式挖掘方法

王晓璇，王丽珍，陈红梅，方圆，杨培忠

《计算机学报》

2019

基于拓扑结构的密度峰值重叠社区发现算法

封云飞，陈红梅

《计算机科学》

2019

POI Representation Learning by a Hybrid Model

Yurui Li, Hongmei Chen, Lizhen Wang, Qing Xiao

Proceedings/IEEE International Conference on Mobile Data Management

DOI

2019

Mining maximal sub-prevalent co-location patterns

Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen

World Wide Web

DOI

2019

A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds

Vanha Tran, Lizhen Wang, Hongmei Chen

IEEE International Conference on Big Knowledge (ICBK)

DOI

2019

ESPM: Efficient Spatial Pattern Matching

Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2018

基于密度的停留点识别方法

李毓瑞，陈红梅，王丽珍，肖清

《大数据》

2018

Effective lossless condensed representation and discovery of spatial co-location patterns

Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbing Cao

Information Sciences

DOI

2018

Mining spatial dynamic co-location patterns

Jiangli Duan, Lizhen Wang, Xin Rong Hu, Hongmei Chen

Filomat

DOI

2018

Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks

Lihua Zhou, Guowang Du, Dapeng Tao, Hongmei Chen, Jun Sheng Cheng, Libo Gong

IEEE Access

DOI

2018

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks

Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2018

Mining High Utility Co-location Patterns Based on Importance of Spatial Region

Jiasong Zhao, Lizhen Wang, Peizhong Yang, Hongmei Chen

Communications in computer and information science

DOI

2018

Measuring the Spatio-Temporal Similarity Between Users

Hongmei Chen, Peizhong Yang, Lizhen Wang, Qing Xiao

Lecture notes in computer science

DOI

2017

Link prediction via local structural information in complex networks

Song Gao, Lihua Zhou, Xiaoxuan Wang, Hongmei Chen

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

DOI

2017

Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities

Lizhen Wang, Wanguo Jiang, Hongmei Chen, Yuan Fang

Lecture notes in computer science

DOI

2017

Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms

Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2016

Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability

Hongmei Chen, Weiyi Liu, Lizhen Wang

International Journal of Artificial Intelligence Tools

DOI

2016

Top-k probabilistic prevalent co-location mining in spatially uncertain data sets

Lizhen Wang, Jun Han, Hongmei Chen, Junli Lu

Frontiers of Computer Science

DOI

2016

Ontology-Based Interactive Post-mining of Interesting Co-location Patterns

Xuguang Bao, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2016

User-Dependent Multi-relational Community Detection in Social Networks

Peizhong Yang, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2015

面向关系语境的罪犯藏匿位置预测方法

张彩平，周丽华，陈红梅，阮惠风

《计算机科学与探索》

2015

面向海量数据的空间co-location模式挖掘新算法

姚华传，王丽珍，陈红梅，邹目权

《计算机科学与探索》

2015

SQNR: A System for Querying Nodes and relations in multi-relational social networks

Zidong Zhang, Lihua Zhou, Lizhen Wang, Hongmei Chen, Peizhong Yang

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

DOI

2015

A Coalition Formation Game Theory-Based Approach for Detecting Communities in Multi-relational Networks

Lihua Zhou, Peizhong Yang, Kevin Lü, Zidong Zhang, Hongmei Chen

Lecture notes in computer science

DOI

2015

A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory

Lihua Zhou, Peizhong Yang, Kevin Lü, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2014

Finding associations-between-groups in multimode networks

Hongmei Chen, Qing Xiao, Dandan Zhang, Lizhen Wang, Lihua Zhou

International Conference on Behavioral, Economic, and Socio-Cultural Computing

DOI

2013

Using Coalitional Games to Detect Communities in Social Networks

Lihua Zhou, Chao Cheng, Kevin Lü, Hongmei Chen

Lecture notes in computer science

DOI

2013

A Game Theory Based Approach for Community Detection in Social Networks

Lihua Zhou, Kevin Lü, Chao Cheng, Hongmei Chen

Lecture notes in computer science

DOI

2013

Mining Co-locations from Spatially Uncertain Data with Probability Intervals

Lizhen Wang, Peng Guan, Hongmei Chen, Qing Xiao

Lecture notes in computer science

DOI

2012

A dynamic algorithm for community detection in social networks

Bing Kong, Hongmei Chen, Weiyi Liu, Lihua Zhou

World Congress on Intelligent Control and Automation

DOI

2011

模糊对象的空间Co-location模式挖掘研究

欧阳志平，王丽珍，陈红梅

《计算机学报》

2011

Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets

Lizhen Wang, Pinping Wu, Hongmei Chen

IEEE Transactions on Knowledge and Data Engineering

DOI

2011

Co-location Patterns Mining Based on Agglomerative Hierarchical Clustering

Hongmei Chen

Journal of Guangxi Normal University

2010

Discovering both positive and negative co-location rules from spatial data sets

Yue Jiang, Lizhen Wang, Ye Lu, Hongmei Chen

2010

An efficient method of evaluating the distance between two uncertain objects

Hongmei Chen, Lizhen Wang, Weiyi Liu, Qing Xiao

DOI

2010

Efficiently Mining Co-Location Rules on Interval Data

Lizhen Wang, Hongmei Chen, Lihong Zhao, Lihua Zhou

Lecture notes in computer science

DOI

2010

Evaluating the Distance between Two Uncertain Categorical Objects

Hongmei Chen, Lizhen Wang, Weiyi Liu, Qing Xiao

Lecture notes in computer science

DOI

2009

SubTree Augmented Naïve Bayesian classifier based on the fuzzy equivalence partition of attribute variables

Hongmei Chen, Lizhen Wang, Weiyi Liu, Hao Chen

International Conference on Information and Automation

DOI

2008

Behavior Observation-Based Rival's Private Information Inferring

Lihua Zhou, Weiyi Liu, Yufeng Xu, Hongmei Chen

DOI

2008

Bayesian network-Based Projected Clustering

Lihua Zhou, Weiyi Liu, Yufeng Xu, Hongmei Chen

International Conference on Machine Learning and Cybernetics

DOI

2005

Record reduction based on attribute oriented generalization

Lizhen Wang, Hongmei Chen

International Conference on Machine Learning and Cybernetics

DOI

精选作品

期刊论文

Mining spatiotemporal dominant co-location patterns

Learning inductive representations from LBSNs for next POI recommendation

Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases

Spatio-Temporal Semantic-Enhanced Contrastive Learning for Friend Recommendation

Discovering Rare Group-Oriented Spatio-Temporal Sequential Patterns

A Spectral Gap-Guided Eulerian Graph Rewiring Method for Heterogeneous Graph Embedding

A prompt-based representation learning approach for heterogeneous graphs

A Decoder-Enhanced Autoencoder for Heterogeneous Graph Representation Learning

Heterogeneous Graph Representation Learning Based on Attribute Completion and Semantic Awareness

Mining co-location evolving sequences from spatio-temporal data

Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

SDMC:A System for Analyzing Supply-Demand Matching in Community Life Circles

POF-HG: Fusion of Public Opinion Field Effect and Heterogeneous Hypergraph for Information Diffusion Prediction

Sustained Evolving Co-occurrence Pattern Mining

Mining regional co-location patterns in urban areas with considerations of temporal accessibility and regional structure

dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns

路径掩码自编码器引导无监督属性图节点聚类

基于数据增强的异质图注意力网络

融合多视角信息的朋友关系预测方法

Spatio-Temporal Graph Representation Learning for POI Recommendation

Learning User Embeddings from LBSN Augmented by Spatial-Temporal Constraints

Robust co-location pattern mining in urban areas based on multi-path proximity consideration

Mining Evolving Spatial Co-Location Patterns Based on Changed Maximal Cliques

Community Search over Heterogeneous Information Networks: A Survey

An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns

Self-supervised learning of invariant causal representation in heterogeneous information network

Graph contrastive clustering network with randomized Schur complement augmentation

Heterogeneous Graph Embedding Based on Attribute-guided Semantic Augmentation

Improving Spatial Co-location Pattern Mining with Enhanced Neighbor Relationship Measures

基于主题声望和动态异构网络的学术影响力排序算法

基于知识图谱的兴趣捕捉推荐算法

融入时间信息的预训练序列推荐方法

异质信息网络中基于解耦图神经网络的社区搜索

PMPRec: A Pre-training encoder based on Meta-Path for Recommendation

A fast multi-level co-location pattern mining approach based on extended maximal cliques

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension

Local Co-location Pattern Mining Based on Regional Embedding

Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders

Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks

Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks

Mining Regional High Utility Co-location Pattern

基于地理偏好排序的兴趣点混合推荐模型

An Empirical Evaluation of Algorithms for Link Prediction

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions

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

CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks

Continuous Sub-prevalent Co-location Pattern Mining

Adaptive Heterogeneous Graph Contrastive Clustering with Multi-similarity

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion

异质信息网络表征学习综述

星型高影响的空间co-location模式挖掘

空间co-location模式的主导特征挖掘

Mining fuzzy sub-prevalent co-location pattern with dominant feature

Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques

Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion

Diversified Top-k Spatial Pattern Matching

极小负co-location模式及有效的挖掘算法

基于空间序偶模式挖掘污染源与癌症病例的关系

Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory

MAHS: A System for Mining and Analysing Hot-Spots from Bike-Sharing Data

基于粗糙集和距离动态模型的重叠社区发现方法

一种基于粗糙集和密度峰值的重叠社区发现方法

ESPM: Efficient Spatial Pattern Matching (Extended Abstract)

基于特征效用参与率的空间高效用co-location模式挖掘方法

基于拓扑结构的密度峰值重叠社区发现算法

POI Representation Learning by a Hybrid Model

Mining maximal sub-prevalent co-location patterns

A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds

ESPM: Efficient Spatial Pattern Matching

基于密度的停留点识别方法

Effective lossless condensed representation and discovery of spatial co-location patterns

Mining spatial dynamic co-location patterns

Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks

Mining High Utility Co-location Patterns Based on Importance of Spatial Region

Measuring the Spatio-Temporal Similarity Between Users