國立虎尾科技大學 |

Measuring technology maturity = operationalizing information from patents, scientific publications, and the web /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Measuring technology maturity/ by Till Albert.
Reminder of title:	operationalizing information from patents, scientific publications, and the web /
Author:	Albert, Till.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2016.,
Description:	xxix, 311 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Technology transfer. -
Online resource:	http://dx.doi.org/10.1007/978-3-658-12132-7
ISBN:	9783658121327

Measuring technology maturity = 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:

565593
Technology transfer.

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

Dewey Class. No.: 338.926

Measuring technology maturity = operationalizing information from patents, scientific publications, and the web /
LDR:02959nam a2200337 a 4500 001 861885
003 DE-He213
005 20160816152201.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783658121327 $q (electronic bk.)
020 $a 9783658121310 $q (paper)
024 7 $a 10.1007/978-3-658-12132-7 $2 doi
035 $a 978-3-658-12132-7
040 $a GP $c GP
041 0 $a eng
050 4 $a T174.3 $b .A434 2016
072 7 $a KJMV6 $2 bicssc
072 7 $a PDG $2 bicssc
072 7 $a BUS087000 $2 bisacsh
082 0 4 $a 338.926 $2 23
090 $a T174.3 $b .A333 2016
100 1 $a Albert, Till. $3 1104613
245 1 0 $a Measuring technology maturity $h [electronic resource] : $b operationalizing information from patents, scientific publications, and the web / $c by Till Albert.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Gabler, $c 2016.
300 $a xxix, 311 p. : $b ill., digital ; $c 24 cm.
490 1 $a Forschungs-/Entwicklungs-/Innovations-Management
505 0 $a 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.
520 $a 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.
650 0 $a Technology transfer. $3 565593
650 0 $a Technological innovations. $3 564143
650 1 4 $a Business and Management. $2 eflch $3 934826
650 2 4 $a Innovation/Technology Management. $3 786196
650 2 4 $a Operation Research/Decision Theory. $3 881408
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Forschungs-/Entwicklungs-/Innovations-Management. $3 1020883
856 4 0 $u http://dx.doi.org/10.1007/978-3-658-12132-7
950 $a Business and Management (Springer-41169)