Nguyen Ho

Orcid: 0000-0002-2308-4329

Affiliations:
  • Aalborg University, Denmark


According to our database1, Nguyen Ho authored at least 26 papers between 2014 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Efficient Rare Temporal Pattern Mining in Time Series.
CoRR, 2024

Towards A Minimalistic Sensor-Based Smart Soccer Net With Machine Learning.
Proceedings of the 15th IEEE Annual Ubiquitous Computing, 2024

Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information.
CoRR, 2023

Experimental Comparison between Neural-Symbolic Question-Answering Methods.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Mining Seasonal Temporal Patterns in Time Series.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Causal Associations between Temporal Events.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Mining Seasonal Temporal Patterns in Big Time Series.
CoRR, 2022

A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series - Full Version.
CoRR, 2022

Multi-Objective Search Group Algorithm for engineering design problems.
Appl. Soft Comput., 2022

Spatio-temporal graph convolutional network for stochastic traffic speed imputation.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022


2021
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data.
IEEE Trans. Big Data, 2021

Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information.
Proc. VLDB Endow., 2021

Multi-objective search group algorithm for thermo-economic optimization of flat-plate solar collector.
Neural Comput. Appl., 2021

Efficient and Distributed Temporal Pattern Mining.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information - Full Version.
CoRR, 2020

Efficient Search for Multi-Scale Time Delay Correlations in Big Time Series Data.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017
Towards sustainable solutions for applications in cloud computing and big data.
PhD thesis, 2017

Improving Energy Efficiency for Transactional Workloads in Cloud Environments.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

2016
CO<sub>2</sub>-Aware Adaptation Strategies for Cloud Applications.
IEEE Trans. Cloud Comput., 2016

An adaptive information-theoretic approach for identifying temporal correlations in big data sets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014
Open Stack and Cloud Stack: Open Source Solutions for Building Public and Private Clouds.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

Analysis of the Influence of Application Deployment on Energy Consumption.
Proceedings of the Energy Efficient Data Centers - Third International Workshop, 2014


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