Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support

This chapter discusses the continuous effort to explore stock price and trend prediction from finance perspective as well as from the integration of three major research areas namely data mining, artificial intelligence and decision support. These areas have been explored to design a hybrid stock pr...

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Main Authors: Chai, Chee Yong, Mohd Taib, Shakirah
Other Authors: Ao , Sio-Iong
Format: Book Section
Published: Springer Netherlands 2010
Subjects:
Online Access:http://www.springerlink.com/content/978-90-481-9418-6#section=791672&page=1&locus=0
http://eprints.utp.edu.my/4009/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.40092014-03-21T20:26:27Z Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support Chai, Chee Yong Mohd Taib, Shakirah QA75 Electronic computers. Computer science This chapter discusses the continuous effort to explore stock price and trend prediction from finance perspective as well as from the integration of three major research areas namely data mining, artificial intelligence and decision support. These areas have been explored to design a hybrid stock price prediction model with relevant techniques into the stock price analysis and prediction activities. Springer Netherlands Ao , Sio-Iong Rieger , Burghard Amouzegar, Mahyar A. 2010-10-05 Book Section NonPeerReviewed http://www.springerlink.com/content/978-90-481-9418-6#section=791672&page=1&locus=0 Chai, Chee Yong and Mohd Taib, Shakirah (2010) Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support. In: Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering :, 68 . Springer Netherlands, Netherlands, pp. 481-493. ISBN 978-90-481-9418-6 (Print) 978-90-481-9419-3 (Online) http://eprints.utp.edu.my/4009/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chai, Chee Yong
Mohd Taib, Shakirah
Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
description This chapter discusses the continuous effort to explore stock price and trend prediction from finance perspective as well as from the integration of three major research areas namely data mining, artificial intelligence and decision support. These areas have been explored to design a hybrid stock price prediction model with relevant techniques into the stock price analysis and prediction activities.
author2 Ao , Sio-Iong
author_facet Ao , Sio-Iong
Chai, Chee Yong
Mohd Taib, Shakirah
format Book Section
author Chai, Chee Yong
Mohd Taib, Shakirah
author_sort Chai, Chee Yong
title Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
title_short Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
title_full Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
title_fullStr Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
title_full_unstemmed Hybrid Stock Investment Strategy Decision Support System : Integration of Data Mining, Artificial Intelligence and Decision Support
title_sort hybrid stock investment strategy decision support system : integration of data mining, artificial intelligence and decision support
publisher Springer Netherlands
publishDate 2010
url http://www.springerlink.com/content/978-90-481-9418-6#section=791672&page=1&locus=0
http://eprints.utp.edu.my/4009/
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