All Stories

  1. Mining Erasable Itemsets from a Product Database with Quantitative Components

    Article • August 2024, ACM (Association for Computing Machinery)

    Tzung-Pei Hong

  2. Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure

    Article • September 2023, ACM (Association for Computing Machinery)

    Tzung-Pei Hong

  3. Incremental High Fuzzy Utility Itemset Mining

    Article • October 2022, ACM (Association for Computing Machinery)

    Tzung-Pei Hong

  4. Mining multiplex interaction relationships from usage records in social networks

    Article • Intelligent Data Analysis, July 2022, IOS Press

    Tzung-Pei Hong

  5. An Efficient Class-incremental Learning Strategy with Frozen Weights and Pseudo Exemplars

    Article • November 2021, ACM (Association for Computing Machinery)

    Tzung-Pei Hong

  6. A survey of incremental high-utility itemset mining

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, January 2018, Wiley

    Tzung-Pei Hong

  7. Efficient hiding of confidential high-utility itemsets with minimal side effects

    Article • Journal of Experimental & Theoretical Artificial Intelligence, May 2017, Taylor & Francis

    Prof. Philippe Fournier-Viger, Tzung-Pei Hong

  8. Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases

    Article • April 2016, ACM (Association for Computing Machinery)

    Tzung-Pei Hong