Chanhee Lee

Affiliations:
  • Sejong University, Department of Computer Engineering, Seoul, Korea


According to our database1, Chanhee Lee authored at least 17 papers between 2022 and 2025.

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Bibliography

2025
Utility-Driven Data Analytics Algorithm for Transaction Modifications Using Pre-Large Concept With Single Database Scan.
IEEE Trans. Big Data, October, 2025

Pre-Eminent Utility Driven Data Analytics Based on Prelarge Patterns for Dynamic Transaction Deletion in IoT Environments.
IEEE Internet Things J., July, 2025

Uncertainty Oriented-Incremental Erasable Pattern Mining Over Data Streams.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025

Uncertainty-Driven Pattern Mining on Incremental Data for Stream Analyzing Service.
IEEE Trans. Serv. Comput., 2025

Efficient mining of incremental high utility patterns with negative unit profits over all the accumulated stream data.
Knowl. Based Syst., 2025

Regularity-driven pattern extraction and analysis approach by the pre-pruning technique without pattern loss.
Future Gener. Comput. Syst., 2025

Temporal fuzzy utility-based data analysis on data streams.
Expert Syst. Appl., 2025

2024
An efficient approach for incremental erasable utility pattern mining from non-binary data.
Knowl. Inf. Syst., October, 2024

Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database.
IEEE Access, 2024

2023
Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining.
IEEE Trans. Cybern., December, 2023

Pre-large based high utility pattern mining for transaction insertions in incremental database.
Knowl. Based Syst., 2023

Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure.
IEEE Access, 2023

2022
Efficient approach of sliding window-based high average-utility pattern mining with list structures.
Knowl. Based Syst., 2022

Advanced uncertainty based approach for discovering erasable product patterns.
Knowl. Based Syst., 2022

An efficient approach for mining maximized erasable utility patterns.
Inf. Sci., 2022

Occupancy-based utility pattern mining in dynamic environments of intelligent systems.
Int. J. Intell. Syst., 2022

EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits.
Expert Syst. Appl., 2022


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