Kihyuk Nam

According to our database, Kihyuk Nam authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Constrained Approximate Query Processing with Error and Response Time-Bound Guarantees for Efficient Big Data Analytics.

Sungsoo Kim, Choon Seo Park, Taewhi Lee, Kihyuk Nam

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

2023

A Framework for Learned Approximate Query Processing for Tabular Data with Trajectory.

Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Taewhi Lee

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Learning for Spatio-temporal and Relational Data.

Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Insik Shin

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Designing ML-based Approximate Query Processing Services on Time-Varying Large Dataset for Distributed Systems.

Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Taewhi Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

An Efficient Data Analysis For Edge-Enabled Distributed Environments using Tractable Probabilistic Models.

Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Insik Shin

Proceedings of the IEEE International Conference on Big Data, 2022

Exploiting Machine Learning Models for Approximate Query Processing.

Taewhi Lee, Kihyuk Nam, Choon Seo Park, Sung-Soo Kim

Proceedings of the IEEE International Conference on Big Data, 2022