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Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques

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Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques

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Griol Barres, I.; Milla, S.; Millet Roig, J. (2019). Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques. AI Communications. 32(5-6):347-360. https://doi.org/10.3233/AIC-190625

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/147520

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Title: Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques
Author: Griol Barres, Israel Milla, Sergio Millet Roig, José
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] At present, one of the greatest threats to companies is not being able to cope with the constant changes that occur in the market because they do not predict them well in advance. Therefore, the development of new ...[+]
Subjects: Weak signal of the future , Strategic decision making , Text mining , Business intelligence architecture , Unstructured information
Copyrigths: Cerrado
Source:
AI Communications. (issn: 0921-7126 )
DOI: 10.3233/AIC-190625
Publisher:
IOS Press
Publisher version: https://doi.org/10.3233/AIC-190625
Thanks:
This work is partially supported by EIT Climate KIC of the European Union (project Accelerator TC2018B-2.2.5-ACCUPV-P066-1A) and Erasmus+ InnoCENS (573965-EPP-1-2016-1-SE-EPPKA2-CBHE-JP).
Type: Artículo

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