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Improving Enterprise Resource Planning results using knowledge extraction and learning

Author:
Berzosa Arnáiz, Alba; Sedano Franco, Javier; Villar Flecha, José RamónUniovi authority; García Tamargo, Marco AntonioUniovi authority; Corchado, Emilio
Publication date:
2010
Publisher version:
http://dx.doi.org/10.1109/NABIC.2010.5716273
Citación:
Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010, p. 340-344 (2010); doi:10.1109/NABIC.2010.5716273
Descripción física:
p. 340-344
Description:

World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 (2nd. 2010. Kitakyushu, Japan)

URI:
http://www.scopus.com/inward/record.url?eid=2-s2.0-79952774257&partnerID=40&md5=2f9984bda0c8510b34fab619d1151019
http://hdl.handle.net/10651/36237
ISBN:
9781424473762
DOI:
10.1109/NABIC.2010.5716273
Patrocinado por:

This research work has been funded by the Spanish Ministry of Science and Innovation, under grant TIN2008-06681-C06-04 and the Spanish Ministry of Science and Innovation through project PIO 560300-2009-11 . This research is also partially supported by projects TIN2010-21272-C02-01 from the Spanish Ministry of Science and Innovation and BU006A08 of the JCyL

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