@article{Shou2013, 
author = {Wenhui Shou and Wenhui Fan and Boyuan Liu and Yuyang Lai},
title = {Knowledge Map Mining of Financial Data},
year = {2013},
journal = {Tsinghua Science and Technology},
volume = {18},
number = {1},
pages = {68-76},
keywords = {data mining, Knowledge Map (KM), health monitoring, crisis warning},
url = {https://www.sciopen.com/article/10.1109/TST.2013.6449410},
doi = {10.1109/TST.2013.6449410},
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.}
}