Yeong-Chyi Lee

发表

Automatic attribute clustering based on genetic algorithms

T. Hong, Po-Cheng Wang, Yeong-Chyi Lee, 2009, 2009 IEEE International Conference on Granular Computing.

Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports

T. Hong, H. Ou, Ja-Hwung Su, 2022, IEEE Access.

Actionable high-coherent-utility fuzzy itemset mining

Chun-Hao Chen, Yeong-Chyi Lee, Ai-Fang Li, 2014, Soft Comput..

Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2008, IEEE Transactions on Evolutionary Computation.

Using dynamic mutation rates in gene-set genetic algorithms

Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

An Overview of Mining Fuzzy Association Rules

Tzung-Pei Hong, Yeong-Chyi Lee, T. Hong, 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

Finding Active Membership Functions for Genetic-Fuzzy Data Mining

Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng, 2015, Int. J. Inf. Technol. Decis. Mak..

An effective parallel approach for genetic-fuzzy data mining

Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu, 2014, Expert Syst. Appl..

A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2006, Soft Comput..

Using the master-slave parallel architecture for genetic-fuzzy data mining

T. Hong, Min-Thai Wu, Yeong-Chyi Lee, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Using divide-and-conquer GA strategy in fuzzy data mining

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

A multiple-level genetic-fuzzy mining algorithm

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

fuzzy coherent rule mining algorithm

Yeong-Chyi Lee, Chun-Hao Chen, Ai-Fang Li, 2013 .

Multi-level fuzzy mining with multiple minimum supports

Tzung-Pei Hong, Yeong-Chyi Lee, Tien-Chin Wang, 2008, Expert Syst. Appl..

Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints

Tzung-Pei Hong, Yeong-Chyi Lee, Wen-Yang Lin, 2004, KES.

Genetic-fuzzy mining with type-2 membership functions

Tzung-Pei Hong, Yeong-Chyi Lee, Yu Li, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

GENETIC-FUZZY MINING WITH TAXONOMY

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2012 .

A high coherent utility fuzzy itemsets mining algorithm

Yeong-Chyi Lee, Chun-Hao Chen, Ai-Fang Li, 2012, 2012 International Conference on Information Security and Intelligent Control.

Mining fuzzy coherent rules from quantitative transactions without minimum support threshold

Tzung-Pei Hong, Yeong-Chyi Lee, Chun-Hao Chen, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Mining Fuzzy Multiple-level Association Rules under Multiple Minimum Supports

Tzung-Pei Hong, Yeong-Chyi Lee, Tien-Chin Wang, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports

Tzung-Pei Hong, Yeong-Chyi Lee, Tien-Chin Wang, 2006, IEA/AIE.

Mining association rules with multiple minimum supports using maximum constraints

Tzung-Pei Hong, Yeong-Chyi Lee, Wen-Yang Lin, 2005, Int. J. Approx. Reason..

A fuzzy coherent rule mining algorithm

Yeong-Chyi Lee, Ai-Fang Li, Chun-Hao Chen, 2013, Appl. Soft Comput..

The YTM-based stock portfolio mining approach by genetic algorithm

Yeong-Chyi Lee, Chun-Hao Chen, Ching-Yu Hsieh, 2013, 2013 IEEE International Conference on Granular Computing (GrC).