Calvin S. H. Hoi

According to our database1, Calvin S. H. Hoi authored at least 14 papers between 2018 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Data. Information and Knowledge Visualization for Frequent Patterns.
Proceedings of the 26th International Conference Information Visualisation, 2022

2021
Predictive Analytics of COVID-19 with Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Health Analytics on COVID-19 Data with Few-Shot Learning.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
Big Data Visualization and Visual Analytics of COVID-19 Data.
Proceedings of the 24th International Conference on Information Visualisation, 2020

Prediction of Food Preparation Time for Smart City.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Machine Learning and OLAP on Big COVID-19 Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Big Data Analysis and Services: Visualization on Smart Data to Support Healthcare Analytics.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Mining Regular High Utility Sequential Patterns in Static and Dynamic Databases.
Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Urban Analytics of Big Transportation Data for Supporting Smart Cities.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

2018
WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors.
Proceedings of the Cognitive Computing - ICCC 2018, 2018

An Accurate Model for Hurricane Trajectory Prediction.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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