Temporal-Based Fuzzy Utility Mining
IEEE Access, 2017 In recent years, fuzzy utility mining has become an area of interest due to advancement of human reasoning. With regards to real applications, transactions in a database often involve things, such as transaction time, stamp, and much more.
Wei-Ming Huang +4 more
doaj +6 more sources
Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining [PDF]
International Journal of Computational Intelligence Systems, 2019 In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the true properties of items.
Wei-Ming Huang +3 more
doaj +7 more sources
Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets [PDF]
IEEE Access, 2020 Data mining is a critical technology for extracting valuable knowledge from databases. It has been used in many fields, like retail, finance, biology, etc.
Tzung-Pei Hong +5 more
doaj +6 more sources
A One-Phase Tree-Structure Method to Mine High Temporal Fuzzy Utility Itemsets
Applied Sciences, 2022 Compared to fuzzy utility itemset mining (FUIM), temporal fuzzy utility itemset mining (TFUIM) has been proposed and paid attention to in recent years.
Tzung-Pei Hong +5 more
doaj +5 more sources
An Efficient Approach for Mining Temporal Fuzzy High-Utility Itemsets [PDF]
The motivation behind fuzzy logic in data mining is to address the inherent uncertainty and imprecision in real-world data and make the mined results more interpretable for humans. Temporal Fuzzy High Utility Itemset Mining, which incorporates transaction time, is an emerging field with significant potential for analyzing time-sensitive data.
Sadnan Kibria Kawshik +5 more
openalex +2 more sources
Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Sci RepAl-Wagih K, Abdullah MA, Senan EM.
europepmc +1 more source
A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offs. [PDF]
Sci RepArun R, Premalatha K, Kannimuthu S.
europepmc +1 more source
Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]
Sci RepNi L, Zhang S, Huang K, Wang Y.
europepmc +1 more source
A Systematic Review of Topic Modeling Techniques for Electronic Health Records. [PDF]
Healthcare (Basel)Mehmood I +4 more
europepmc +1 more source
A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]
PLoS OneSalehi M, Khayami R, Mirmozaffari M.
europepmc +1 more source