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Identification of trends from patents using self-organizing maps · Study

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ArticleIdentification of trends from patents using self-organizing maps

Aviv Segev2012

Article2012

Identification of trends from patents using self-organizing maps

Aviv Segev · Jussi Kantola

40 citations·0/0 files stored·Expert Systems with Applications

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Intellectual Property and Patents scientometrics and bibliometrics research Data Visualization and Analytics

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 40 citations exist upstream.

References

1989Treatise on Basic Philosophy 1979Treatise on Basic Philosophy 2011Development of a GTM-based patent map for identifying patent vacuums 2007Towards content-oriented patent document processing 2012An analysis of property–function based patent networks for strategic R&D planning in fast-moving industries: The case of silicon-based thin film solar cells

Cited by

2017Visual patent trend analysis for informed decision making in technology management 2019Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model 2020Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development 2015Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field 2014Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential 2016A Trend Analysis Method for IoT Technologies Using Patent Dataset with Goal and Approach Concepts 2014From Patent Data to Business Intelligence – PSALM Case Studies 2020Research on technology prospect risk of high-tech projects based on patent analysis

Details

Year2012

Typearticle

Published2012-06-21

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations40

Files0 public / 0

ShelfIntellectual Property and Patents

Identifiers

doi10.1016/j.eswa.2012.05.078

openalex_workW2056895418

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