Blar i Publikasjoner fra CRIStin - SINTEF AS på emneord "Data mining"

Viser treff 1-6 av 6

    • Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems 

      Ahmed, Usman; Srivastava, Gautam; Djenouri, Youcef; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation systems, which can be used to provide safety, sustainability, efficiency, communication and cooperation between vehicles, roadside ...

    • Efficient Chain Structure for High-Utility Sequential Pattern Mining 

      Lin, Jerry Chun-Wei; Li, Yuanfa; Fournier-Viger, Philippe; Djenouri, Youcef; Zhang, Ji (Peer reviewed; Journal article, 2020)
      High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative ...

    • An evolutionary model to mine high expected utility patterns from uncertain databases 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Yasin, Rizwan; Djenouri, Youcef (Peer reviewed; Journal article, 2021)
      In recent decades, mobile or the Internet of Thing (IoT) devices are dramatically increasing in many domains and applications. Thus, a massive amount of data is generated and produced. Those collected data contain a large ...

    • Hybrid group anomaly detection for sequence data: application to trajectory data analytics 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Cano, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Many research areas depend on group anomaly detection. The use of group anomaly detection can maintain and provide security and privacy to the data involved. This research attempts to solve the deficiency of the existing ...

    • Machine Learning for Identifying Group Trajectory Outliers 

      Belhadi, Asma; Djenouri, Youcef; Djenouri, Djamel; Michalak, Tomasz; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Prior works on the trajectory outlier detection problem solely consider individual outliers. However, in real-world scenarios, trajectory outliers can often appear in groups, e.g., a group of bikes that deviates to the ...

    • Trajectory outlier detection: New problems and solutions for smart cities 

      Djenouri, Youcef; Djenouri, Djamel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This article introduces two new problems related to trajectory outlier detection: (1) group trajectory outlier (GTO) detection and (2) deviation point detection for both individual and group of trajectory outliers. Five ...