Mining for Strategic Competitive Intelligence : Foundations and Applications

The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application sc...

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Detaylı Bibliyografya
Yazar: Ziegler, Cai-Nicolas, 19..-
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2012.
Seri Bilgileri:Studies in Computational Intelligence 406
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Mining for Strategic Competitive Intelligence, Texte imprimé, 9783642277139
• Mining for Strategic Competitive Intelligence, Texte imprimé, 9783642448713
• Mining for Strategic Competitive Intelligence, Texte imprimé, 9783642277139
• Mining for Strategic Competitive Intelligence, Texte imprimé, 9783642277153
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245 1 0 |a Mining for Strategic Competitive Intelligence :  |b Foundations and Applications   |c by Cai-Nicolas Ziegler. 
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505 1 |a Introduction Research Foundations Competitive Intelligence Capturing Systems Research Topics and Applications Conclusion 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations.To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book.Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph 
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