Blar i HVL Open på forfatter "Lin, Chun Wei"

Viser treff 1-11 av 11

    • A Grid-Based Swarm Intelligence Algorithm for Privacy-Preserving Data Mining 

      Wu, Tsu-Yang; Lin, Chun Wei; Zhang, Yuyu; Chen, Chun-Hao (Journal article; Peer reviewed, 2019)
      Privacy-preserving data mining (PPDM) has become an interesting and emerging topic in recent years because it helps hide confidential information, while allowing useful knowledge to be discovered at the same time. Data ...

    • A Sanitization Approach to Secure Shared Data in an IoT Environment 

      Lin, Chun Wei; Wu, Jimmy Ming-Tai; Fournier-Viger, Philippe; Djenouri, Youcef; Chen, Chun-Hao; Zhang, Yuyu (Journal article; Peer reviewed, 2019)
      Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, and exchange data without human intervention. During shared or exchanged ...

    • A Survey on Urban Traffic Anomalies Detection Algorithms 

      Djenouri, Youcef; Belhadi, Asma; Lin, Chun Wei; Djenouri, Djamel; Cano, Alberto (Journal article; Peer reviewed, 2019)
      This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ...

    • Adapted k-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow 

      Djenouri, Youcef; Belhadi, Asma; Lin, Chun Wei; Djenouri, Djamel; Cano, Alberto (Journal article; Peer reviewed, 2019)
      Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances ...

    • An Effective Approach for Obtaining a Group Trading Strategy Portfolio Using Grouping Genetic Algorithm 

      Chen, Chun-Hao; Chen, Yu-Hsuan; Lin, Chun Wei; Wu, Mu-En (Journal article; Peer reviewed, 2019)
      To determine an appropriate trading time for buying or selling stocks is always a difficult task. The common way to deal with it is using trading strategies formed by technical or fundamental indicators. Lots of approaches ...

    • BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction 

      Lin, Chun Wei; Shao, Yinan; Fournier-Viger, Philippe; Hamido, Fujita (Peer reviewed; Journal article, 2019)
      The natural language processing (NLP) denotes a technique used to process data such as text and speech. Some of the fundamental research in NLP includes the named entity recognition, which recognizes the named entities ...

    • Discovering Periodic Itemsets using Novel Periodicity Measures 

      Fournier-Viger, Philippe; Yang, Peng; Lin, Chun Wei; Duong, Quang-Huy; Dam, Thu-Lan; Frnda, Jaroslav; Sevcik, Lukas; Voznak, Miroslav (Journal article; Peer reviewed, 2019)
      Discovering periodic patterns in a customer transaction database is the task of identifying itemsets (sets of items or values) that periodically appear in a sequence of transactions. Numerous methods can identify ...

    • 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 ...

    • GFSOM: Genetic Feature Selection for Ontology Matching 

      Belhadi, Hiba; Akli-Astouati, Karima; Djenouri, Youcef; Lin, Chun Wei; Wu, Jimmy Ming-Tai (Journal article; Peer reviewed, 2019)
      This paper studies the ontology matching problem and proposes a genetic feature selection approach for ontology matching (GFSOM), which exploits the feature selection using the genetic approach to select the most appropriate ...

    • The density-based clustering method for privacy-preserving data mining 

      Wu, Jimmy Ming-Tai; Lin, Chun Wei; Fournier-Viger, Philippe; Djenouri, Youcef; Chen, Chun-Hao; Li, Zhongcui (Journal article; Peer reviewed, 2019)
      Privacy-preserving data mining has become an interesting and emerging issue in recent years since it can, not only hide the sensitive information but still mine the meaningful knowledge at the same time. Since privacy-preserving ...

    • 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 ...