Blar i HVL Open på forfatter "Pirouz, Matin"

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    • The Efficient Mining of Skyline Patterns from a Volunteer Computing Network 

      Wu, Jimmy Ming-Tai; Teng, Qian; Srivastava, Gautam; Pirouz, Matin; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. ...

    • Incrementally updating the high average-utility patterns with pre-large concept 

      Lin, Jerry Chun-Wei; Pirouz, Matin; Djenouri, Youcef; Cheng, Chien-Fu; Ahmed, Usman (Peer reviewed; Journal article, 2020)
      High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. This ...