Bryan H. Wodi

Orcid: 0009-0005-4246-6954

According to our database1, Bryan H. Wodi authored at least 9 papers between 2018 and 2021.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2021
An Effective and Efficient Framework for Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Cloud Data.
J. Ubiquitous Syst. Pervasive Networks, 2021

2020
An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 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

WeFreS: weighted frequent subgraph mining in a single large graph.
Proceedings of the Advances in Data Mining, 2019

Fast privacy-preserving keyword search on encrypted outsourced data.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Big Data Visualisation and Visual Analytics for Music Data Mining.
Proceedings of the 22nd International Conference Information Visualisation, 2018

An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining.
Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 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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