Financial time series prediction in cooperating with event knowledge: a fuzzy approach Sang, Do-Thanh, Woo, Dong-Min, Park, Dong-Chul and Nguyen, Thi 2010, Financial time series prediction in cooperating with event knowledge: a fuzzy approach, in MICAI 2010 : Proceedings of the Artificial Intelligence 2010 Mexican International Conference, Springer, Berlin, Germany, pp. 406-417, doi: 10.1007/978-3-642-16773-7_35. Attached Files Name Description MIMEType Size Downloads Title Financial time series prediction in cooperating with event knowledge: a fuzzy approach Author(s) Sang, Do-Thanh Woo, Dong-Min Park, Dong-Chul Nguyen, Thi orcid.org/0000-0001-9709-1663 Conference name Artificial Intelligence. Mexican International Conference (9th : 2010 : Pachuca, Mexico) Conference location Pachuca, Mexico Conference dates 8 - 13 Nov. 2010 Title of proceedings MICAI 2010 : Proceedings of the Artificial Intelligence 2010 Mexican International Conference Editor(s) Sidorov, Grigori Aguirre, Arturo Hernandez Garcia, Carlos Alberto Reyes Publication date 2010 Conference series Artificial Intelligence Mexican International Conference Start page 406 End page 417 Total pages 12 Publisher Springer Place of publication Berlin, Germany Keyword(s) event knowledge financial time series prediction fuzzy logic standard additive fuzzy system Notes Proceedings published in Advances in Soft Computing : Lecture Notes in Computer Science : Volume 6438 LNAI, Part 2 ISBN 364216773X 9783642167737 Language eng DOI 10.1007/978-3-642-16773-7_35 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30056313 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 02 Oct 2013, 10:33:30 EST Fri, 04 Oct 2013, 10:21:23 EST Tue, 15 Oct 2013, 10:04:13 EST Fri, 08 Aug 2014, 14:41:04 EST Tue, 17 Nov 2015, 13:58:54 EST Wed, 18 Nov 2015, 06:36:03 EST Sat, 21 Oct 2017, 01:40:23 EST Mon, 28 May 2018, 12:27:53 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 210 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 02 Oct 2013, 10:33:30 EST

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