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Analysis of Patents for Prior Art Candidate Search

Déjean, Sébastien and Faessel, Nicolas and Marty, Lucille and Mothe, Josiane and Sadala, Samantha and Thiam, Soda Analysis of Patents for Prior Art Candidate Search. (2013) In: International Conference on Advances in Information Mining and Management - 2013, 17 November 2013 - 22 November 2013 (Lisbon, Portugal).

(Document in English)

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In this paper, we describe a method for analyzing a collection of patents in order to help prior art candidate search in an interactive and graphical way. The method relies on the use of two data mining methods: hierarchical agglomerative clustering and principal component analysis, which are applied successively. The correlation between the application patent and the other patents is a good indicator to help decide the classes of patents to look at.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ThinkMind editor. The definitive version is available at http://www.thinkmind.org/index.php?view=article&articleid=immm_2013_1_10_20020
HAL Id:hal-04083373
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:14 Apr 2015 07:04

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