Heonho Kim
According to our database1,
Heonho Kim
authored at least 19 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
DFPM: Damped window-based flexible periodic pattern analysis on the time-decaying model.
Future Gener. Comput. Syst., 2026
2025
Pre-Eminent Utility Driven Data Analytics Based on Prelarge Patterns for Dynamic Transaction Deletion in IoT Environments.
IEEE Internet Things J., July, 2025
IEEE Trans. Syst. Man Cybern. Syst., February, 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
2024
An efficient approach for incremental erasable utility pattern mining from non-binary data.
Knowl. Inf. Syst., October, 2024
2023
An advanced approach for incremental flexible periodic pattern mining on time-series data.
Expert Syst. Appl., November, 2023
Pre-large based high utility pattern mining for transaction insertions in incremental database.
Knowl. Based Syst., 2023
2022
Efficient approach of sliding window-based high average-utility pattern mining with list structures.
Knowl. Based Syst., 2022
Inf. Sci., 2022
EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits.
Expert Syst. Appl., 2022
2021
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams.
ACM Trans. Intell. Syst. Technol., 2021
IEEE Syst. J., 2021
Knowl. Based Syst., 2021
Knowl. Based Syst., 2021
Efficient list based mining of high average utility patterns with maximum average pruning strategies.
Inf. Sci., 2021
Prelarge-Based Utility-Oriented Data Analytics for Transaction Modifications in Internet of Things.
IEEE Internet Things J., 2021
2020
Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases.
Future Gener. Comput. Syst., 2020
Erasable pattern mining based on tree structures with damped window over data streams.
Eng. Appl. Artif. Intell., 2020