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  • Search: subject:"Name Disambiguation"
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Year of publication
Subject
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Author name disambiguation 3 name disambiguation 3 Bibliographic data 2 Classification 2 DBLP 2 Entity linkage 2 Fuzzy name matching 2 Neural networks 2 patents 2 supervised machine learning 2 Artificial intelligence 1 Credit Allocation 1 Emerging Technology 1 Forecasting model 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Künstliche Intelligenz 1 Matching 1 Name Disambiguation 1 Patent 1 Prognoseverfahren 1 Simulation 1 Technischer Fortschritt 1 Technological change 1 Theorie 1 Theory 1 Topic Model 1 Topical N-Grams Model 1 inventors 1 patent data 1
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Online availability
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Free 5 Undetermined 2
Type of publication
All
Article 4 Book / Working Paper 3
Type of publication (narrower categories)
All
Article 2 Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 5 Undetermined 2
Author
All
Asundi, Nagaraj Bahubali 2 Boukhers, Zeyd 2 Bremer, Leon 2 An, Xin 1 Hao, Liyuan 1 LISSONI, Francesco 1 Lu, Kun 1 Milojević, Staša 1 TARASCONI, Gianluca 1 Xu, Shuo 1 Yang, Guancan 1
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Institution
All
Groupe de Recherche en Économie Théorique et Appliquée (GREThA), Université de Bordeaux 1
Published in...
All
International Journal on Digital Libraries 2 Cahiers du GREThA 1 Discussion paper / Tinbergen Institute 1 Journal of Informetrics 1 Technological forecasting & social change : an international journal 1 Tinbergen Institute Discussion Paper 1
Source
All
EconStor 3 ECONIS (ZBW) 2 RePEc 2
Showing 1 - 7 of 7
Cover Image
Fuzzy firm name matching: Merging Amadeus firm data to PATSTAT
Bremer, Leon - 2023
When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...
Persistent link: https://www.econbiz.de/10014469390
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Deep author name disambiguation using DBLP data
Boukhers, Zeyd; Asundi, Nagaraj Bahubali - In: International Journal on Digital Libraries 25 (2023) 3, pp. 431-441
ambiguity is considered a critical open problem in digital libraries. This paper proposes an author name disambiguation approach …
Persistent link: https://www.econbiz.de/10015272026
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Cover Image
Deep author name disambiguation using DBLP data
Boukhers, Zeyd; Asundi, Nagaraj Bahubali - In: International Journal on Digital Libraries 25 (2023) 3, pp. 431-441
ambiguity is considered a critical open problem in digital libraries. This paper proposes an author name disambiguation approach …
Persistent link: https://www.econbiz.de/10015404784
Saved in:
Cover Image
Fuzzy firm name matching : merging Amadeus firm data to PATSTAT
Bremer, Leon - 2023
When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...
Persistent link: https://www.econbiz.de/10014380748
Saved in:
Cover Image
A topic models based framework for detecting and forecasting emerging technologies
Xu, Shuo; Hao, Liyuan; Yang, Guancan; Lu, Kun; An, Xin - In: Technological forecasting & social change : an … 162 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012665260
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How To Kill Inventors: Testing The Massacrator© Algorithm For Inventor Disambiguation
LISSONI, Francesco; TARASCONI, Gianluca - Groupe de Recherche en Économie Théorique et … - 2012
Inventor disambiguation is an increasingly important issue for users of patent data. We propose and test a number of refinements to the Massacrator© algorithm, originally proposed by Lissoni et al. (2006) and now applied to APE-INV, a free access database funded by the European Science...
Persistent link: https://www.econbiz.de/10010598516
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Accuracy of simple, initials-based methods for author name disambiguation
Milojević, Staša - In: Journal of Informetrics 7 (2013) 4, pp. 767-773
There are a number of solutions that perform unsupervised name disambiguation based on the similarity of bibliographic …
Persistent link: https://www.econbiz.de/10011039343
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