• A Bitmap Approach for Mining Erasable Itemsets 

      Hong, Tzung-Pei; Huang, Wei-Ming; Lan, Guo-Cheng; Chiang, Ming-Chao; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Erasable-itemset mining is a valuable method of pattern extraction for helping the manager of a factory analyze production planning. The erasable itemsets derived can be considered important production information regarding ...
    • An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm 

      Chen, Chung-Hao; Lu, Cheng-Yu; Hong, Tzung-Pei; Lin, Chun Wei; Gaeta, Matteo (Peer reviewed; Journal article, 2019)
      Finding useful portfolios that could be a portfolio of trading strategy or a stock portfolio from financial datasets is always an attractive research topic due to the nature of financial markets. Because investors always ...
    • Linguistic frequent pattern mining using a compressed structure 

      Lin, Jerry Chun-Wei; Ahmed, Usman; Srivastava, Gautam; Wu, Jimmy Ming-Tai; Hong, Tzung-Pei; Djenouri, Youcef (Peer reviewed; Journal article, 2021)
      Traditional association-rule mining (ARM) considers only the frequency of items in a binary database, which provides insufficient knowledge for making efficient decisions and strategies. The mining of useful information ...
    • Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests 

      Bui, Toan; Nguyen, Tram; Huynh, Huy M.; Vo, Bay; Lin, Jerry Chun-Wei; Hong, Tzung-Pei (Journal article; Peer reviewed, 2020)
      Education is mandatory, and much research has been invested in this sector. An important aspect of education is how to evaluate the learners’ progress. Multiple-choice tests are widely used for this purpose. The tests for ...
    • A One-Phase Tree-Structure Method to Mine High Temporal Fuzzy Utility Itemsets 

      Hong, Tzung-Pei; Lin, Cheng-Yu; Huang, Wei-Ming; Li, Shu-Min; Wang, Shyue-Liang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Compared to fuzzy utility itemset mining (FUIM), temporal fuzzy utility itemset mining (TFUIM) has been proposed and paid attention to in recent years. It considers the characteristics of transaction time, sold quantities ...
    • Using multi-conditional minimum thresholds in temporal fuzzy utility mining 

      Huang, Weiming; Hong, Tzung-Pei; Chiang, Ming-Chao; Lin, Chun Wei (Peer reviewed; Journal article, 2019)
      In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the ...
    • Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets 

      Hong, Tzung-Pei; Lin, Cheng-Yu; Huang, Wei-Ming; Li, Katherine Shu-Min; Wang, Leon Shyue-Liang; Lin, Jerry Chun-Wei (Journal article; Peer reviewed, 2020)
      Data mining is a critical technology for extracting valuable knowledge from databases. It has been used in many fields, like retail, finance, biology, etc. In computational intelligence, fuzzy logic has been applied in ...