Name
Affiliation
Papers
LIZHEN WANG
Yunnan Univ, Sch Informat, Dept Comp Sci & Engn, Kunming 650091, Peoples R China
67
Collaborators
Citations 
PageRank 
113
153
26.16
Referers 
Referees 
References 
222
782
520
Search Limit
100782
Title
Citations
PageRank
Year
Mining Type-beta Co-Location Patterns on Closeness Centrality in Spatial Data Sets00.342022
A maximal ordered ego-clique based approach for prevalent co-location pattern mining00.342022
Mining spatial high-average utility co-location patterns from spatial data sets00.342022
Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory00.342022
Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques00.342022
Mining Non-Redundant Co-Location Patterns00.342022
SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation00.342022
MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion00.342022
Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation00.342021
Efficient Discovery Of Co-Location Patterns From Massive Spatial Datasets With Or Without Rare Features00.342021
EHUCM: An Efficient Algorithm for Mining High Utility Co-location Patterns from Spatial Datasets with Feature-specific Utilities00.342021
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm00.342021
Deep Multiple Auto-Encoder-Based Multi-View Clustering00.342021
An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems.00.342020
Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns00.342020
Espm: Efficient Spatial Pattern Matching00.342020
Delaunay triangulation‐based spatial colocation pattern mining without distance thresholds00.342020
Attributed Network Embedding with Community Preservation00.342020
A MapReduce approach for spatial co-location pattern mining via ordered-clique-growth10.352020
Mining high influence co-location patterns from instances with attributes00.342020
ESPM: Efficient Spatial Pattern Matching00.342020
Mining Spatial Co-Location Patterns Based on Overlap Maximal Clique Partitioning00.342019
A tensor framework for geosensor data forecasting of significant societal events.10.352019
A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds00.342019
Mining Spatial Co-location Patterns by the Fuzzy Technology10.352019
POI Representation Learning by a Hybrid Model20.362019
Discovering High Influence Co-location Patterns from Spatial Data Sets00.342019
A clique-based approach for co-location pattern mining.40.392019
Mining Prevalent Co-Location Patterns Based on Global Topological Relations00.342019
Mining maximal sub-prevalent co-location patterns00.342019
Vector-Degree: A General Similarity Measure for Co-location Patterns00.342019
Prevalent Co-Visiting Patterns Mining from Location-Based Social Networks10.342019
An Effective Approach on Mining Co-Location Patterns from Spatial Databases with Rare Features00.342019
Domain-Weighted Majority Voting for Crowdsourcing.70.452019
Mining Significant Co-Location Patterns From Spatial Regional Objects00.342019
Measuring the Spatio-Temporal Similarity Between Users.00.342018
An Incremental Approach Based on the Coalition Formation Game Theory for Identifying Communities in Dynamic Social Networks.00.342018
Mining strong symbiotic patterns hidden in spatial prevalent co-location patterns.40.402018
A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard.00.342018
Discovering Congestion Propagation Patterns by Co-location Pattern Mining.00.342018
Discovering Interesting Co-Location Patterns Interactively Using Ontologies20.362017
Mining Co-location Patterns with Dominant Features.10.352017
Incremental mining of high utility co-locations from spatial database30.392017
Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases.50.422017
Game influence diagrams with interval-valued utilities00.342017
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms.10.352017
Naive Bayesian Classification Of Uncertain Objects Based On The Theory Of Interval Probability10.362016
Co-location Detector: A System to Find Interesting Spatial Co-locating Relationships.00.342016
A novel method on incremental mining of spatial co-locations30.412016
Top- k probabilistic prevalent co-location mining in spatially uncertain data sets100.592016
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