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).
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(Document in English)
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Abstract
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) |
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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: | |
Statistics: | download |
Deposited On: | 14 Apr 2015 07:04 |
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