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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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Detalles Bibliográficos
Autor principal: Ziegler, Cai-Nicolas
Lenguaje:eng
Publicado: Springer 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-27714-6
http://cds.cern.ch/record/1501789
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author Ziegler, Cai-Nicolas
author_facet Ziegler, Cai-Nicolas
author_sort Ziegler, Cai-Nicolas
collection CERN
description 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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spelling cern-15017892021-04-21T23:56:01Zdoi:10.1007/978-3-642-27714-6http://cds.cern.ch/record/1501789engZiegler, Cai-NicolasMining for Strategic Competitive Intelligence: Foundations and ApplicationsEngineeringThe 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.Springeroai:cds.cern.ch:15017892012
spellingShingle Engineering
Ziegler, Cai-Nicolas
Mining for Strategic Competitive Intelligence: Foundations and Applications
title Mining for Strategic Competitive Intelligence: Foundations and Applications
title_full Mining for Strategic Competitive Intelligence: Foundations and Applications
title_fullStr Mining for Strategic Competitive Intelligence: Foundations and Applications
title_full_unstemmed Mining for Strategic Competitive Intelligence: Foundations and Applications
title_short Mining for Strategic Competitive Intelligence: Foundations and Applications
title_sort mining for strategic competitive intelligence: foundations and applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-27714-6
http://cds.cern.ch/record/1501789
work_keys_str_mv AT zieglercainicolas miningforstrategiccompetitiveintelligencefoundationsandapplications