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Measuring Technology Maturity Operationalizing Information from Patents, Scientific Publications, and the Web - Albert, Till
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Albert, Till:

Measuring Technology Maturity Operationalizing Information from Patents, Scientific Publications, and the Web - nouveau livre

2016, ISBN: 3658121319

Kartoniert / Broschiert Innovationsmanagement, Management / Innovationsmanagement, Entscheidungstheorie, F u. E (Forschung und Entwicklung), Business / Management, Management, Operations… Plus…

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2016, ISBN: 9783658121310

Operationalizing Information from Patents, Scientific Publications, and the Web, Buch, Softcover, 1st ed. 2016, Till Albert presents a machine learning based approach to harnessing inform… Plus…

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Measuring Technology Maturity - nouveau livre

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Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the intern… Plus…

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Albert, Till:
Measuring Technology Maturity Operationalizing Information from Patents, Scientific Publications, and the Web - nouveau livre

2016, ISBN: 3658121319

1st ed. 2016 Kartoniert / Broschiert Innovationsmanagement, Management / Innovationsmanagement, Management: Innovation, Unternehmensforschung, InformationDiffusion; InnovationandTechnol… Plus…

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Till Albert:
Measuring Technology Maturity - Livres de poche

2016, ISBN: 9783658121310

Operationalizing Information from Patents, Scientific Publications, and the Web, Buch, Softcover, 1st ed. 2016, [PU: Springer Fachmedien Wiesbaden GmbH], Springer Fachmedien Wiesbaden Gmb… Plus…

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Measuring Technology Maturity
Auteur:
Titre:
ISBN:

3658121319


Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity evaluation of yet unknown technologies. Elaborate patent based indicators contain very useful information on technological aspects of maturity but lack for others such as social, economic, ecological, or political factors. The approach presented in this book is able to incorporate these other factors and provide a firm basis for robust technology maturity and speed of maturity evaluation.

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EAN (ISBN-13): 9783658121310
ISBN (ISBN-10): 3658121319
Livre de poche
Date de parution: 2016
Editeur: Springer Fachmedien Wiesbaden GmbH

Livre dans la base de données depuis 2016-04-17T01:58:42+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-02-12T13:10:05+01:00 (Paris)
ISBN/EAN: 3658121319

ISBN - Autres types d'écriture:
3-658-12131-9, 978-3-658-12131-0
Autres types d'écriture et termes associés:
Auteur du livre: albert, gabler betriebswirt vlg, till
Titre du livre: forschung, management information technology, patents

Données de l'éditeur

Auteur: Till Albert
Titre: Forschungs-/Entwicklungs-/Innovations-Management; Measuring Technology Maturity - Operationalizing Information from Patents, Scientific Publications, and the Web
Editeur: Springer Gabler; Springer Fachmedien Wiesbaden GmbH
311 Pages
Date de parution: 2016-01-29
Wiesbaden; DE
Imprimé / Fabriqué en
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XXIX, 311 p. 86 illus.

BC; Hardcover, Softcover / Wirtschaft/Management; Management: Innovation; Verstehen; Management; Information Diffusion; Innovation and Technology Management; Linear Discriminant Analysis; Dynamic Capabilities; Machine Learning; Innovation and Technology Management; Operations Research and Decision Theory; Unternehmensforschung; Management: Entscheidungstheorie; EA

Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity evaluation of yet unknown technologies. Elaborate patent based indicators contain very useful information on technological aspects of maturity but lack for others such as social, economic, ecological, or political factors. The approach presented in this book is able to incorporate these other factors and provide a firm basis for robust technology maturity and speed of maturity evaluation.   Contents Information Scattering in Different Text MediaIdentifying Text Media Suitable for Informetric Analyses and Deriving Relevant Indicator ValuesUsing Machine Learning to Gauge the Maturity Classification Performance of a Set of IndicatorsRepresentation, Interpretation, and Utilization of Maturity Analysis Results   Target Groups Researcher and students of Business Engineering, Informatics, and MathematicsInnovation Managers, Technology Managers, Business Intelligence Professionals, Future Researchers   The Author Till Albert wrote this dissertation with Professor Martin G. Moehrle at the Institute of Project Management and Innovation (IPMI) of the University of Bremen. He now works in the area of data driven approaches to support innovation and technology management, such as patent analysis, scientometrics, webometrics, social network analysis, and combinations thereof.  
Publication in the field of economic sciences Includes supplementary material: sn.pub/extras

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