Myungha Cho

Orcid: 0009-0005-3551-4292

According to our database1, Myungha Cho authored at least 17 papers between 2023 and 2026.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DFPM: Damped window-based flexible periodic pattern analysis on the time-decaying model.
Future Gener. Comput. Syst., 2026

2025
Damped weighted erasable itemset mining with time sensitive dynamic environments.
J. Big Data, December, 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

Approximate erasable pattern discovery and analytics on stream data.
Knowl. Based Syst., 2025

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

Sliding window-based high utility occupancy pattern mining for data streams.
Inf. Sci., 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

Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments.
Inf. Sci., February, 2024

Advanced incremental erasable pattern mining from the time-sensitive data stream.
Knowl. Based Syst., 2024

Advanced approach for mining utility occupancy patterns in incremental environment.
Knowl. Based Syst., 2024

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

2023
Efficient approach for mining high-utility patterns on incremental databases with dynamic profits.
Knowl. Based Syst., December, 2023

An advanced approach for incremental flexible periodic pattern mining on time-series data.
Expert Syst. Appl., November, 2023


  Loading...