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Sung-Soo Kim
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Publications
- 2023
- [c36]Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Insik Shin:
Learning for Spatio-temporal and Relational Data. IEEE Big Data 2023: 6239-6241 - [c35]Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Taewhi Lee:
A Framework for Learned Approximate Query Processing for Tabular Data with Trajectory. ICTC 2023: 1122-1124 - 2022
- [c33]Taewhi Lee, Kihyuk Nam, Choon Seo Park, Sung-Soo Kim:
Exploiting Machine Learning Models for Approximate Query Processing. IEEE Big Data 2022: 6752-6754 - [c32]Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Insik Shin:
An Efficient Data Analysis For Edge-Enabled Distributed Environments using Tractable Probabilistic Models. IEEE Big Data 2022: 6787-6789 - [c31]Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, Taewhi Lee:
Designing ML-based Approximate Query Processing Services on Time-Varying Large Dataset for Distributed Systems. ICTC 2022: 1979-1982 - 2016
- [c30]Sung-Soo Kim, Taewhi Lee, Moonyoung Chung, Jongho Won:
Sweet KIWI: Statistics-Driven OLAP Acceleration using Query Column Sets. EDBT 2016: 680-681 - [c29]Taewhi Lee, Moonyoung Chung, Sung-Soo Kim, Hyewon Song, Jongho Won:
Partial Materialization for Data Integration in SQL-on-Hadoop Engines. ICITCS 2016: 1-2 - 2015
- [c28]Sung-Soo Kim, Taewhi Lee, Moonyoung Chung, Jongho Won:
Flying KIWI: Design of Approximate Query Processing Engine for Interactive Data Analytics at Scale. BigDAS 2015: 206-207
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