T. Hong

发表

Discovering functional dependencies from similarity-based fuzzy relational databases

Tzung-Pei Hong, Shyue-Liang Wang, Jenn-Shing Tsai, 2001, Intell. Data Anal..

Mining approximate dependency to answer null queries on similarity-based fuzzy relational databases

Tzung-Pei Hong, Shyue-Liang Wang, Shyue-Liang Wang, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

Mining functional dependencies from fuzzy relational databases

Tzung-Pei Hong, Shyue-Liang Wang, Jenn-Shing Tsai, 2000, SAC '00.

Two-dimentional Encoding Schema and Genetic Operators

Tzung-Pei Hong, Tung-Kuan Liu, Ming-Wen Tsai, 2006, JCIS.

Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems

Tzung-Pei Hong, Chun-Hao Chen, Chen-Sen Ouyang, 2011, Int. J. Intell. Inf. Database Syst..

Fuzzy Association Rule Mining with Type-2 Membership Functions

Tzung-Pei Hong, Yu Li, Chun-Hao Chen, 2015, ACIIDS.

Inductive learning from fuzzy examples

T. Hong, S. Tseng, Ching-Hung Wang, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Anonymizing Set-Valued Social Data

Tzung-Pei Hong, Shyue-Liang Wang, Hung-Yu Kao, 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

A Two-Dimensional Genetic Algorithm and Its Application to Aircraft Scheduling Problem

Tzung-Pei Hong, Woo-Tsong Lin, Ming-Wen Tsai, 2015 .

Developing a GP-based Framework for Knowledge Integration

Tzung-Pei Hong, Chuen-Lung Chen, Chan-Sheng Kuo, 2012 .

A Knowledge-Evolution Strategy Based on Genetic Programming

Tzung-Pei Hong, Chuen-Lung Chen, Chan-Sheng Kuo, 2008, 2008 International Conference on Convergence and Hybrid Information Technology.

AN IMPROVED KNOWLEDGE-ACQUISITION STRATEGY BASED ON GENETIC PROGRAMMING

Tzung-Pei Hong, Chuen-Lung Chen, Chan-Sheng Kuo, 2008, Cybern. Syst..

Integrating Multiple Knowledge Sources by Genetic Programming

Tzung-Pei Hong, Chuen-Lung Chen, Chan-Sheng Kuo, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

A Knowledge-Acquisition Strategy Based on Genetic Programming

Tzung-Pei Hong, Chan-Sheng Kuo, Chuen-Lung Chena, 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

Applying genetic programming technique in classification trees

Tzung-Pei Hong, Chuen-Lung Chen, Chan-Sheng Kuo, 2007, Soft Comput..

Learning discriminant functions with fuzzy attributes for classification using genetic programming

Been-Chian Chien, J. Lin, T. Hong, 2002, Expert Syst. Appl..

A Function-Based Classifier Learning Scheme Using Genetic Programming

Tzung-Pei Hong, Been-Chian Chien, Jung-Yi Lin, 2002, PAKDD.

Robust Speech Recognition by DHMM with A Codebook Trained by Genetic Algorithm

Tzung-Pei Hong, Shing-Tai Pan, Shing‐Tai Pan, 2012, J. Inf. Hiding Multim. Signal Process..

Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion

Tzung-Pei Hong, Shyue-Liang Wang, Chun-Wei Lin, 2018, 2018 IEEE International Conference on Big Data (Big Data).

An incremental mining algorithm for erasable itemsets

Tzung-Pei Hong, Bay Vo, Kun-Yi Lin, 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets

Tzung-Pei Hong, Dosam Hwang, Bay Vo, 2015, Comput. Informatics.

An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining

T. Hong, H. Le, Bay Vo, 2014, Applied Intelligence.

Maintenance of DBV-Trees for Transaction Insertion

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2012, 2012 Conference on Technologies and Applications of Artificial Intelligence.

An Efficient Incremental Mining Approach Based on IT-Tree

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2011, 2011 IEEE International Conference on Granular Computing.

Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets

Tzung-Pei Hong, Chun-Wei Lin, Wen-Hsiang Lu, 2010, New Generation Computing.

Mining Up-to-Date Knowledge Based on Tree Structures

Tzung-Pei Hong, Chun-Wei Lin, Wen-Hsiang Lu, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

An FUSP-Tree Maintenance Algorithm for Record Modification

Tzung-Pei Hong, Chun-Wei Lin, Wen-Hsiang Lu, 2008, 2008 IEEE International Conference on Data Mining Workshops.

An Incremental FUSP-Tree Maintenance Algorithm

Tzung-Pei Hong, Wen-Yang Lin, Chun-Wei Lin, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

An Efficient FUFP-tree Maintenance Algorithm for Record Modification

Tzung-Pei Hong, Yu-Lung Wu, Chun-Wei Lin, 2008 .

Incrementally fast updated sequential pattern trees

Tzung-Pei Hong, Sheng-Tun Li, Chun-Wei Lin, 2008, 2008 International Conference on Machine Learning and Cybernetics.

Maintenance of generalized association rules for record deletion based on the pre-large concept

Tzung-Pei Hong, Tzu-Jung Huang, T. Hong, 2007 .

Improved Negative-Border Online Mining Approaches

Tzung-Pei Hong, Ching-Yao Wang, Shian-Shyong Tseng, 2006, PAKDD.

A new incremental data mining algorithm using pre-large itemsets

Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao, 2001, Intell. Data Anal..

- 1-Reduction of Erasable Itemset Mining to Frequent Itemset Mining

T. Hong, Wen-Yang Lin, Chunhua Wang, 2019 .

An efficient approach for mining frequent item sets with transaction deletion operation

Tzung-Pei Hong, Jason J. Jung, Bay Vo, 2016, Int. Arab J. Inf. Technol..

An efficient and effective association-rule maintenance algorithm for record modification

Tzung-Pei Hong, Ching-Yao Wang, Ching-Yao Wang, 2010, Expert Syst. Appl..

Multidimensional On-line Mining

Tzung-Pei Hong, Shian-Shyong Tseng, Ching-Yao Wang, 2006, Foundations and Novel Approaches in Data Mining.

A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests

Tzung-Pei Hong, Shian-Shyong Tseng, Yianshu Chu, 2004, ICEB.

Maintenance of Generalized Association Rules Based on Pre-large Concepts

T. Hong, Tzu-Jung Huang, Chao-Sheng Chang, 2004 .

A Time-Completeness Tradeoff on Fuzzy Web-Browsing Mining

Tzung-Pei Hong, Shyue-Liang Wang, Kuei-Ying Lin, 2004 .

An efficient bit-based feature selection method

Tzung-Pei Hong, Shian-Shyong Tseng, Wei-Chou Chen, 2008, Expert Syst. Appl..

A Full Connection and Less Memory Usage Scheme for Distributed Sensor Networks

Tzung-Pei Hong, Gwoboa Horng, Chun-Hua Chen, 2008, 2008 3rd International Conference on Innovative Computing Information and Control.

A GA-BASED KEY-MANAGEMENT SCHEME IN HIERARCHICAL WIRELESS SENSOR NETWORKS

Tzung-Pei Hong, Gwoboa Horng, 洪國寶, 2009 .

Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains

Tzung-Pei Hong, Tzu-Ting Wang, T. Hong, 2000, Information Sciences.

Palmer-based flexible flow-shop scheduling for continuous fuzzy domains

Tzung-Pei Hong, Shyue-Liang Wang, Tzu-Ting Wang, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

Fuzzy palmer Scheduling for Flow Shops with More than Two Machines

Tzung-Pei Hong, Tzung-Nan Chuang, Tzung-Nan Chuang, 1999, J. Inf. Sci. Eng..

Fuzzy scheduling on two-machine flow shop

Tzung-Pei Hong, Tzung-Nan Chuang, T. Hong, 1998, J. Intell. Fuzzy Syst..

LPT scheduling for fuzzy tasks

Tzung-Pei Hong, Kun-Ming Yu, Cheng-Ming Huang, 1998, Fuzzy Sets Syst..

LPT scheduling on fuzzy tasks with triangular membership functions

C. M. Huang, K. M. Yu, T. P. Hong, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm

Tzung-Pei Hong, Shyue-Liang Wang, Tzu-Ting Wang, 2001, Soft Comput..

Discovering mobile users' moving behaviors in wireless networks

Tzung-Pei Hong, Shi-Jinn Horng, Cheng-Ming Huang, 2009, Expert Syst. Appl..

Processing individual fuzzy attributes for fuzzy rule induction

Tzung-Pei Hong, Jyh-Bin Chen, T. Hong, 2000, Fuzzy Sets Syst..

Finding relevant attributes and membership functions

Tzung-Pei Hong, Jyh-Bin Chen, T. Hong, 1999, Fuzzy Sets Syst..

SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data

Witold Pedrycz, Tzung-Pei Hong, Bay Vo, 2021, IEEE Transactions on Fuzzy Systems.

Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds

Tzung-Pei Hong, Philippe Fournier-Viger, Chun-Wei Lin, 2015, C3S2E.

An incremental mining algorithm for high utility itemsets

Tzung-Pei Hong, Guo-Cheng Lan, Chun-Wei Lin, 2012, Expert Syst. Appl..

An effective tree structure for mining high utility itemsets

Tzung-Pei Hong, Chun-Wei Lin, Wen-Hsiang Lu, 2011, Expert Syst. Appl..

Theory and Applications of Evolutionary Computation

Oliver Kramer, Tzung-Pei Hong, Chuan-Kang Ting, 2010, Appl. Comput. Intell. Soft Comput..

Cluster-Based Evaluation in Fuzzy-Genetic Data Mining

Tzung-Pei Hong, Vincent S. Tseng, Chun-Hao Chen, 2008, IEEE Transactions on Fuzzy Systems.

Combining Single-pass and Multiple-pass Heuristics for Group Flexible Flow-shop Scheduling Problems

Tzung-Pei Hong, Cheng-Yan Kao, Pei-Ying Huang, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Single-pass-based heuristic algorithms for group flexible flow-shop scheduling problems

Tzung-Pei Hong, Cheng-Yan Kao, Pei-Ying Huang, 2006 .

Solving group flexible flow-shop problems by the PT algorithm

Tzung-Pei Hong, Cheng-Yan Kao, Gwoboa Horng, 2005 .

Extending the Palmer algorithm to solve group flexible flow-shop problems

Tzung-Pei Hong, Cheng-Yan Kao, Gwoboa Horng, 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

Trade-off between Time Complexity and Makespan for Flexible Flow-Shop Group Scheduling Problems with Two Machine Centers

Tzung-Pei Hong, Pei-Ying Huang, Pei-Ying Huang, 2007 .

SOLVING FLEXIBLE FLOW-SHOP PROBLEMS BY LPT AND LN SCHEDULING ALGORITHMS

Tzung-Pei Hong, Gwoboa Horng, Pei-Ying Huang, 2006 .

Using the LPT and the Palmer Approaches to Solve Group Flexible Flow-shop Problems

Tzung-Pei Hong, Gwoboa Horng, Pei-Ying Huang, 2006 .

Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases

Tzung-Pei Hong, S. R. Kannan, S. Ramathilagam, 2015, Appl. Soft Comput..

A framework of E-SCM multi-agent systems in the fashion industry

Tzung-Pei Hong, Wei-Shuo Lo, Rong Jeng, 2008 .

Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures

Tzung-Pei Hong, Gautam Srivastava, Jimmy Ming-Tai Wu, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A GA-based Framework for Mining High Fuzzy Utility Itemsets

Tzung-Pei Hong, Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets

Tzung-Pei Hong, Jerry Chun-Wei Lin, Katherine Shu-Min Li, 2020, IEEE Access.

A heuristic Palmer-based fuzzy flexible flow-shop scheduling algorithm

Tzung-Pei Hong, Tzu-Ting Wang, T. Hong, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

Fuzzy Flexible-Flow Shops at Two Machine Centers

Tzung-Pei Hong, Wei-Chou Chen, T. Hong, 1998, J. Adv. Comput. Intell. Intell. Informatics.

A new triangular fuzzy Johnson algorithm

Tzung-Pei Hong, Tzung-Nan Chuang, T. Hong, 1999 .

Mining Outliers in Correlated Subspaces for High Dimensional Data Sets

Tzung-Pei Hong, Jinsong Leng, Jinsong Leng, 2010, Fundam. Informaticae.