World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15648
World Ranking
2896
National Ranking
18

Overview

Tzung-Pei Hong is affiliated with the National University of Kaohsiung in Taiwan. Their research primarily lies within the field of computer science, with a significant focus on artificial intelligence, information systems, computer vision and pattern recognition, computational theory and mathematics, and management science and operations research.

The main topics covered in their scholarly work include:

  • Data Mining Algorithms and Applications
  • Rough Sets and Fuzzy Logic
  • Data Management and Algorithms
  • Imbalanced Data Classification Techniques
  • Stock Market Forecasting Methods
  • Fuzzy Logic and Control Systems
  • Metaheuristic Optimization Algorithms Research

Tzung-Pei Hong's frequent coauthors are Chun-Hao Chen, Wei-Ming Huang, Yu-Chuan Tsai, Ja-Hwung Su, and Jerry Chun-Wei Lin. These collaborations have contributed to a series of publications across multiple well-regarded international venues.

The scientist has published extensively in the following venues:

  • IEEE Access
  • Applied Intelligence
  • Soft Computing
  • Sensors
  • Applied Sciences

Selected recent papers include:

  • "SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data," 2020, in IEEE Transactions on Fuzzy Systems
  • "Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules," 2020, in Sensors
  • "A New Clinical Spectrum for the Assessment of Nonalcoholic Fatty Liver Disease Using Intelligent Methods," 2020, in IEEE Access
  • "Mining Correlated High Utility Itemsets in One Phase," 2020, in IEEE Access
  • "Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets," 2020, in IEEE Access

Their contributions also extend to book publications, mainly with Springer Publishing groups, including Springer Science+Business Media, Springer Nature, and Springer International Publishing. Notable titles are:

  • "Intelligent Information and Database Systems" (multiple editions between 2021 and 2023)
  • "Recent Challenges in Intelligent Information and Database Systems," 2021
  • "Hybrid Intelligent Systems," 2021 and 2023 editions
  • "Advances in Speech and Music Technology," 2021
  • "Fuzzy Mathematical Analysis and Advances in Computational Mathematics," 2022
  • "Smart Sensor Networks," 2021
  • "Intelligent Systems Design and Applications," 2022

Best Publications

  • Mining association rules with multiple minimum supports using maximum constraints

    Yeong-Chyi Lee;Tzung-Pei Hong;Wen-Yang Lin

  • Induction of fuzzy rules and membership functions from training examples

    Tzung-Pei Hong;Chai-Ying Lee

  • Mining association rules from quantitative data

    Tzung-Pei Hong;Chan-Sheng Kuo;Sheng-Chai Chi

  • An effective tree structure for mining high utility itemsets

    Chun-Wei Lin;Tzung-Pei Hong;Wen-Hsiang Lu

  • Incrementally fast updated frequent pattern trees

    Tzung-Pei Hong;Chun-Wei Lin;Yu-Lung Wu

  • Fuzzy data mining for interesting generalized association rules

    Tzung-Pei Hong;Kuei-Ying Lin;Shyue-Liang Wang

  • Integrating fuzzy knowledge by genetic algorithms

    Ching-Hung Wang;Tzung-Pei Hong;Shian-Shyong Tseng

  • TRADE-OFF BETWEEN COMPUTATION TIME AND NUMBER OF RULES FOR FUZZY MINING FROM QUANTITATIVE DATA

    Tzung-Pei Hong;Chan-Sheng Kuo;Sheng-Chai Chi

  • A new incremental data mining algorithm using pre-large itemsets

    Tzung-Pei Hong;Ching-Yao Wang;Yu-Hui Tao

  • Adapting Crossover and Mutation Rates in Genetic Algorithms

    Wen-Yang Lin;Wen-Yung Lee;Tzung-Pei Hong

  • The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

    Chang-Shing Lee;Mei-Hui Wang;G. Chaslot;J.-B. Hoock

  • Finding relevant attributes and membership functions

    Tzung-Pei Hong;Jyh-Bin Chen

  • An efficient projection-based indexing approach for mining high utility itemsets

    Guo Cheng Lan;Tzung Pei Hong;Vincent S. Tseng

  • Learning rules from incomplete training examples by rough sets

    Tzung-Pei Hong;Li-Huei Tseng;Shyue-Liang Wang

  • A survey of incremental high-utility itemset mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Effective utility mining with the measure of average utility

    Tzung-Pei Hong;Cho-Han Lee;Shyue-Liang Wang

  • A binary PSO approach to mine high-utility itemsets

    Jerry Chun-Wei Lin;Lu Yang;Philippe Fournier-Viger;Tzung-Pei Hong

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

    Tzung-Pei Hong;Chun-Hao Chen;Yu-Lung Wu;Yeong-Chyi Lee

  • The Pre-FUFP algorithm for incremental mining

    Chun-Wei Lin;Tzung-Pei Hong;Wen-Hsiang Lu

  • Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process

    Tzung-Pei Hong;Hong-Shung Wang;Wen-Yang Lin;Wen-Yuan Lee

  • Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms

    Tzung-Pei Hong;Hong-Shung Wang;Wei-Chou Chen

Frequent Co-Authors

Vincent S. Tseng
Vincent S. Tseng National Yang Ming Chiao Tung University
Bay Vo
Bay Vo Ho Chi Minh City University of Technology
Philippe Fournier-Viger
Philippe Fournier-Viger Shenzhen University
Wensheng Gan
Wensheng Gan Jinan University
Shi-Jinn Horng
Shi-Jinn Horng Asia University Taiwan
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Gautam Srivastava
Gautam Srivastava Brandon University
Miroslav Voznak
Miroslav Voznak VSB – Technical University of Ostrava
Han-Chieh Chao
Han-Chieh Chao Fo Guang University
Youcef Djenouri
Youcef Djenouri University of South-Eastern Norway

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