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Open Access

Knowledge Map Mining of Financial Data

Wenhui Shou, Wenhui Fan( ), Boyuan Liu, Yuyang Lai
Department of Automation, Tsinghua University, Beijing 100084, China
SOYOTEC Technologies Co., Ltd., Beijing 100081, China.
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Abstract

The Knowledge Map (KM) concept, which was derived from the Fuzzy Cognitive Map (FCM), is used to 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

data miningKnowledge Map (KM)health monitoringcrisis warning

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Tsinghua Science and Technology
Volume 18 Issue 1,
February 2013
Pages 68-76
DOI: 10.1109/TST.2013.6449410
Cite this article:
Shou W, Fan W, Liu B, et al. Knowledge Map Mining of Financial Data. Tsinghua Science and Technology, 2013, 18(1): 68-76. https://doi.org/10.1109/TST.2013.6449410

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Received: 20 April 2012
Accepted: 23 November 2012
Published: 07 February 2013
© The author(s) 2013
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