• Title of article

    Knowledge Map Mining of Financial Data

  • Author/Authors

    Shou, Wenhui Tsinghua University - Department of Automation, China , Fan, Wenhui Tsinghua University - Department of Automation, China , Liu, Boyuan Tsinghua University - Department of Automation, China , Lai, Yuyang SOYOTEC Technologies Co., Ltd., China

  • From page
    68
  • To page
    76
  • Abstract
    The Knowledge Map (KM) concept, which was derived from the Fuzzy Cognitive Map (FCM), is usedto describe and manage knowledge. KM provides insight into the interdependencies and uncertainties contained in the system. This paper uses a model-free method to mine KMs in historical data to analyze component stock corporations of the Shanghai Stock 50 index. The analyses use static and time-domain analyses. The results indicate that a knowledge map is useful for representing knowledge and for monitoring the health of companies. Furthermore, sudden changes of the key features of the KMs should be taken seriously by policymakers as an alarm of a crisis.
  • Keywords
    Knowledge Map (KM) , data mining , health monitoring , crisis warning
  • Journal title
    Tsinghua Science and Technology
  • Journal title
    Tsinghua Science and Technology
  • Record number

    2535526