Xuguang Bao

Orcid: 0000-0001-9950-0053

According to our database1, Xuguang Bao authored at least 39 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Knowledge-based discovery of multi-level co-location patterns using ontology.
Knowl. Inf. Syst., October, 2024

SPCCP-Miner: Towards the Discovery of Congested Junctions.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

FOICP-Miner: An Interactive Spatial Pattern Recommendation System Based on Fuzzy-Ontology.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
Evolution of cooperation in spatial public goods game based on heterogenous social preferences and dynamic punishment.
J. Intell. Fuzzy Syst., October, 2023

Behavior-Based Ethical Understanding in Chinese Social News.
IEEE Trans. Affect. Comput., 2023

Individual fairness for local private graph neural network.
Knowl. Based Syst., 2023

Fair and Privacy-Preserving Graph Neural Network.
Proceedings of the Database Systems for Advanced Applications, 2023

A Spatial Maximal Co-location Pattern Mining Algorithm Based on Maximal Clique.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

Relationship analysis and price prediction of supermarket vegetable based on ARIMA model.
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

Interactively Mining Interesting Spatial Co-Location Patterns by Using Fuzzy Ontologies.
Proceedings of the Web Information Systems and Applications, 2023

2022
Mining Non-Redundant Co-Location Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2022

Implementation of Embedded Magnetic Encoder for Rotor Position Detection Based on Arbitrary Phase-Shift Phase-Lock Loop.
IEEE Trans. Ind. Electron., 2022

Knowledge-Based Interactive Postmining of User-Preferred Co-Location Patterns Using Ontologies.
IEEE Trans. Cybern., 2022

Modeling personalized representation for within-basket recommendation based on deep learning.
Expert Syst. Appl., 2022

Interactive Mining of User-Preferred Co-location Patterns Based on SVM.
Proceedings of the Intelligent Information Processing XI, 2022

IDMBS: An Interactive System to Find Interesting Co-location Patterns Using SVM.
Proceedings of the Database Systems for Advanced Applications, 2022

OIIKM: A System for Discovering Implied Knowledge from Spatial Datasets Using Ontology.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
TASC-MADM: Task Assignment in Spatial Crowdsourcing Based on Multiattribute Decision-Making.
Secur. Commun. Networks, 2021

NRCP-Miner: Towards the Discovery of Non-redundant Co-location Patterns.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
A Survey of Researches on Personalized Bundle Recommendation Techniques.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

An Adaptive Dummy-based Mechanism to Protect Location Privacy in Smart Health Care System.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

2019
Mining maximal sub-prevalent co-location patterns.
World Wide Web, 2019

A clique-based approach for co-location pattern mining.
Inf. Sci., 2019

2018
Redundancy Reduction for Prevalent Co-Location Patterns.
IEEE Trans. Knowl. Data Eng., 2018

Effective lossless condensed representation and discovery of spatial co-location patterns.
Inf. Sci., 2018

A Business Site Selection System Using Co-Locations and Ontologies.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

A Co-Location-Based Approach for Business Site Selection Using Ontologies.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Discovering Interesting Co-location Patterns Interactively Using Ontologies.
Proceedings of the Database Systems for Advanced Applications, 2017

OICPM: An Interactive System to Find Interesting Co-location Patterns Using Ontologies.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Mining co-location patterns with spatial distribution characteristics.
Proceedings of the International Conference on Computer, 2016

Mining top-k-size maximal co-location patterns.
Proceedings of the International Conference on Computer, 2016

A novel method on incremental mining of spatial co-locations.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Co-location Detector: A System to Find Interesting Spatial Co-locating Relationships.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

OICRM: An Ontology-Based Interesting Co-location Rule Miner.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Ontology-Based Interactive Post-mining of Interesting Co-location Patterns.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
CDSG: A Community Detection System Based on the Game Theory.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

A framework for mining spatial high utility co-location patterns.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015


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