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Measuring technology maturity[electronic resource] :operationalizing information from patents, scientific publications, and the web /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	338.926
書名/作者:	Measuring technology maturity : operationalizing information from patents, scientific publications, and the web // by Till Albert.
作者:	Albert, Till.
出版者:	Wiesbaden : : Springer Fachmedien Wiesbaden :, 2016.
面頁冊數:	xxix, 311 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Technology transfer.
標題:	Technological innovations.
標題:	Business and Management.
標題:	Innovation/Technology Management.
標題:	Operation Research/Decision Theory.
ISBN:	9783658121327
ISBN:	9783658121310
內容註:	Information 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.
摘要、提要註:	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 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 Target Groups Researcher and students of Business Engineering, Informatics, and Mathematics Innovation 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.
電子資源:	http://dx.doi.org/10.1007/978-3-658-12132-7

Measuring technology maturity[electronic resource] :operationalizing information from patents, scientific publications, and the web /
Albert, Till.

Measuring technology maturityoperationalizing information from patents, scientific publications, and the web /[electronic resource] :by Till Albert. - Wiesbaden :Springer Fachmedien Wiesbaden :2016. - xxix, 311 p. :ill., digital ;24 cm. - Forschungs-/Entwicklungs-/Innovations-Management. - Forschungs-/Entwicklungs-/Innovations-Management..

Information 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.

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 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 Target Groups Researcher and students of Business Engineering, Informatics, and Mathematics Innovation 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.

ISBN: 9783658121327

Standard No.: 10.1007/978-3-658-12132-7doiSubjects--Topical Terms:

376639
Technology transfer.

LC Class. No.: T174.3 / .A434 2016

Dewey Class. No.: 338.926

Measuring technology maturity[electronic resource] :operationalizing information from patents, scientific publications, and the web /
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