Using machine learning approaches to identify emergence

Case of vehicle related patent data

Samira Ranaei, Arho Suominen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Bibliometric studies have long used simple search strings, publications count, and word counts to track the emergence of technologies. Novel machine learning methods open new possibilities to study bibliometric data and use algorithmic approaches to uncover emergence of a technology. This study looks at the large and complex dataset of vehicle related patents to uncover emergence indicators. By using machine learning methods this study focuses on if, and to what extent different methods can produce patterns of emergence from the data directly. The data extracted from PATSTAT contains 711296 granted US patent abstracts between the years 1980 and 2014 resulting from a search for "vehicle" creating a complex dataset of technologies from automotive to medical applications. Using Latent Dirichlet Allocation and Dynamic Topic Modeling we show different emergence patterns. Finally, we discuss in detail the possibilities of using machine learning approaches to draw emergence dynamics of technologies.

Original languageEnglish
Title of host publicationPICMET 2017 - Portland International Conference on Management of Engineering and Technology
Subtitle of host publicationTechnology Management for the Interconnected World, Proceedings
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1-8
Number of pages8
Volume2017-January
ISBN (Electronic)9781890843366
DOIs
Publication statusPublished - 29 Nov 2017
MoE publication typeA4 Article in a conference publication
Event2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017 - Portland, United States
Duration: 9 Jul 201713 Jul 2017

Conference

Conference2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017
Abbreviated titlePICMET 2017
CountryUnited States
CityPortland
Period9/07/1713/07/17

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patent
Learning systems
learning
learning method
Medical applications
Patent data
Machine learning
Learning methods
Bibliometrics
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Cite this

Ranaei, S., & Suominen, A. (2017). Using machine learning approaches to identify emergence: Case of vehicle related patent data. In PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings (Vol. 2017-January, pp. 1-8). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.23919/PICMET.2017.8125290
Ranaei, Samira ; Suominen, Arho. / Using machine learning approaches to identify emergence : Case of vehicle related patent data. PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings. Vol. 2017-January Institute of Electrical and Electronic Engineers IEEE, 2017. pp. 1-8
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Ranaei, S & Suominen, A 2017, Using machine learning approaches to identify emergence: Case of vehicle related patent data. in PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings. vol. 2017-January, Institute of Electrical and Electronic Engineers IEEE, pp. 1-8, 2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017, Portland, United States, 9/07/17. https://doi.org/10.23919/PICMET.2017.8125290

Using machine learning approaches to identify emergence : Case of vehicle related patent data. / Ranaei, Samira; Suominen, Arho.

PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings. Vol. 2017-January Institute of Electrical and Electronic Engineers IEEE, 2017. p. 1-8.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Ranaei S, Suominen A. Using machine learning approaches to identify emergence: Case of vehicle related patent data. In PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings. Vol. 2017-January. Institute of Electrical and Electronic Engineers IEEE. 2017. p. 1-8 https://doi.org/10.23919/PICMET.2017.8125290