Blar i HVL Open på forfatter "Yun, Unil"

Viser treff 1-5 av 5

    • Analytics of high average-utility patterns in the industrial internet of things 

      Wu, Jimmy Ming-Tai; Li, Zhongcui; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure ...

    • EANDC: An explainable attention network based deep adaptive clustering model for mental health treatments 

      Ahmed, Usman; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Internet-delivered Psychological Treatment (IDPT) has been shown to be an effective method for improving psychological disorders. Natural language processing (NLP) requires an appropriate set of linguistic features for ...

    • Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure 

      Kim, Hyeonmo; Ryu, Taewoong; Lee, Chanhee; Kim, Sinyoung; Vo, Bay; Lin, Jerry Chun-Wei; Yun, Unil (Peer reviewed; Journal article, 2023)
      High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and ...

    • Enhanced sequence labeling based on latent variable conditional random fields 

      Lin, Jerry Chun-Wei; Shao, Yinan; Zhang, Ji; Yun, Unil (Journal article; Peer reviewed, 2020)
      Natural language processing is a useful processing technique of language data, such as text and speech. Sequence labeling represents the upstream task of many natural language processing tasks, such as machine translation, ...

    • Fuzzy high-utility pattern mining in parallel and distributed Hadoop framework 

      Wu, Jimmy Ming-Tai; Srivastava, Gautam; Wei, Min; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Over the past decade, high-utility itemset mining (HUIM) has received widespread attention that can emphasize more critical information than was previously possible using frequent itemset mining (FIM). Unfortunately, HUIM ...