Yeong-Chyi Lee

Ai-Fang Li

Soft Comput., 2014

An effective parallel approach for genetic-fuzzy data mining.

[BibT_eX]

[DOI]

Min-Thai Wu

Expert Syst. Appl., 2014

A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Genetic-fuzzy mining with type-2 membership functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

A fuzzy coherent rule mining algorithm.

[BibT_eX]

[DOI]

Ai-Fang Li

Appl. Soft Comput., 2013

The YTM-based stock portfolio mining approach by genetic algorithm.

[BibT_eX]

[DOI]

Ching-Yu Hsieh

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012

A Bio-Inspired Algorithm for Solving the Scheduling Problems with Redundant Molds.

[BibT_eX]

[DOI]

Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012

Mining fuzzy coherent rules from quantitative transactions without minimum support threshold.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2012, 2012

2011

A multiple-level genetic-fuzzy mining algorithm.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Using dynamic mutation rates in gene-set genetic algorithms.

[BibT_eX]

[DOI]

Min-Thai Wu

Proceedings of the IEEE International Conference on Systems, 2010

Mining Generalized Association Rules with Quantitative Data under Multiple Support Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

2009

An Effective Attribute Clustering Approach for Feature Selection and Replacement.

[BibT_eX]

[DOI]

Po-Cheng Wang

Cybern. Syst., 2009

Automatic attribute clustering based on genetic algorithms.

[BibT_eX]

[DOI]

Po-Cheng Wang

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008

An Overview of Mining Fuzzy Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

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

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2008

Multi-level fuzzy mining with multiple minimum supports.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2008

2007

Mining Generalized Association Rules from a Different Perspective.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

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

[BibT_eX]

[DOI]

Soft Comput., 2006

Mining Fuzzy Multiple-level Association Rules under Multiple Minimum Supports.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2006

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005

Mining association rules with multiple minimum supports using maximum constraints.

[BibT_eX]

[DOI]

Wen-Yang Lin

Int. J. Approx. Reason., 2005

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

[BibT_eX]

[DOI]

Min-Thai Wu

Proceedings of the IEEE International Conference on Systems, 2005

2004

Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints.

[BibT_eX]

[DOI]

Wen-Yang Lin

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

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

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC 2006), June 28, 2004

2001

Mining Coverage-Based Fuzzy Rules by Evolutional Computation.

[BibT_eX]

[DOI]