Results 1 to 10 of about 732 (71)

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, Cheng-Yu Lin, Wei-Ming Huang, Katherine Shu-Min Li, Leon Shyue-Liang Wang, Jerry Chun-Wei Lin   +5 more
doaj   +5 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, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin   +5 more
doaj   +5 more sources

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, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin   +4 more
doaj   +4 more sources

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining

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, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin   +3 more
doaj   +5 more sources

An Efficient Approach for Mining Temporal Fuzzy High-Utility Itemsets

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, Zulker Nayeen, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson K. Leung, Connor C. J. Connor   +5 more
openaire   +1 more source

Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]

Sci Rep
Ni 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, Zahra Z, Iqbal S, Qahmash A, Hussain 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 One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source

Optimal Selection of Biodegradable Polymer Composites for Load-Bearing Bone Tissue Engineering: A Hybrid Fuzzy AHP-TOPSIS Framework with Sensitivity-Based Robustness Analysis. [PDF]

J Funct Biomater
Hamidat L, Uzun Ozsahin D, Uzun B.
europepmc   +1 more source

Predictive modeling for early diagnosis of dementia using sequential data analysis and data mining. [PDF]

Sci Rep
G SK, R D.
europepmc   +1 more source