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OverviewTill 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. Full Product DetailsAuthor: Till AlbertPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer Gabler Edition: 1st ed. 2016 Dimensions: Width: 14.80cm , Height: 2.00cm , Length: 21.00cm Weight: 4.447kg ISBN: 9783658121310ISBN 10: 3658121319 Pages: 311 Publication Date: 29 January 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsInformation Scattering in Different Text Media.- Identifying Text Media Suitable for Informetric Analyses and Deriving Relevant Indicator Values.- Using Machine Learning to Gauge the Maturity Classification Performance of a Set of Indicators.- Representation, Interpretation, and Utilization of Maturity Analysis Results.ReviewsAuthor InformationTill 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. Tab Content 6Author Website:Countries AvailableAll regions |
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