• Associating Absent Frequent Itemsets with Infrequent Items to Identify Abnormal Transactions 

      Kao, Li-Jen; Huang, Yo-Ping; Sandnes, Frode Eika (Applied intelligence;42(4), Journal article; Peer reviewed, 2014-12-07)
      Data stored in transactional databases are vulnerable to noise and outliers and are often discarded at the early stage of data mining. Abnormal transactions in the marketing transactional database are those transactions ...
    • Fuzzy Environment Mapping for Robot Navigation Based on Grid Computing 

      Kao, Li-Jen; Huang, Yo-Ping; Sandnes, Frode Eika; Hsiao, Mann-Jung (Chapter; Peer reviewed, 2010)
      In order to navigate autonomously, a mobile robot needs to build an environment map where the robot is navigating. Currently, the sensors are mounted on the robot to detect if the obstacles exist and then the map immediate ...
    • Mining time-dependent influential users in Facebook fans group 

      Kao, Li-Jen; Huang, Yo-Ping; Sandnes, Frode Eika (Chapter; Peer reviewed; Chapter, 2016)
      Klout, a famous App, could measure people's social network influence power. Klout score is measured according to the data from past 90 days and an individual who has high Klout score is thought as having high social influence ...