Causal Links Analysis Based Conceptual Model for Stocks

Wang, Shanshan, Wang, Huaiqing, Kang, Ye and Chen, Xiaojian (2008). Causal Links Analysis Based Conceptual Model for Stocks. In: 2008 Second International Symposium on Intelligent Information Technology Application (Iita). Second International Symposium on Intelligent Information Technology Application, Shanghai, China, (890-894). 22-23 December 2008. doi:10.1109/IITA.2008.592


Author Wang, Shanshan
Wang, Huaiqing
Kang, Ye
Chen, Xiaojian
Title of paper Causal Links Analysis Based Conceptual Model for Stocks
Conference name Second International Symposium on Intelligent Information Technology Application
Conference location Shanghai, China
Conference dates 22-23 December 2008
Proceedings title 2008 Second International Symposium on Intelligent Information Technology Application (Iita)
Journal name Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Publisher IEEE - Institute of Electrical Electronics Engineers
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/IITA.2008.592
ISBN 1424440637
Volume 2
Start page 890
End page 894
Total pages 5
Language eng
Abstract/Summary In recent years, people from academic and practice fields put more and more effort to study various stock phenomena using techniques from AI and data mining. However, the way they process data generated from phenomena has two problems, the first is that people just focus on relations among observable data, not relations among entities which are more stable than the former ones. The other problem is that people now usually store data in multi-relational tables in databases, if there are no links knowledge provided for these tables, it is hard for them to draw a compound model for their studying certain phenomenon. Thus in this paper, a conceptual model is proposed to manage the links knowledge for stock domain in a formal way. It include an ontology of classed of links and inductive rules complementing to ontology because of the representation limitation of ontology. With this conceptual model, system development and data mining for certain stock phenomena can be supported by more stable background knowledge, particular the links information among entities in stock domain.
Subjects 1109 Neurosciences
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Thu, 15 Apr 2010, 00:14:58 EST by Laura McTaggart on behalf of Faculty of Business, Economics & Law