Article

Towards a Predictive Patent Analytics and Evaluation Platform

Authors:

Mukesh MohaniaAuthors Info & Claims

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

Pages 773 - 776

https://doi.org/10.1007/978-3-030-46133-1_49

Published: 16 September 2019 Publication History

Abstract

The importance of patents is well recognised across many regions of the world. Many patent mining systems have been proposed, but with limited predictive capabilities. In this demo, we showcase how predictive algorithms leveraging the state-of-the-art machine learning and deep learning techniques can be used to improve understanding of patents for inventors, patent evaluators, and business analysts alike. Our demo video is available at http://ibm.biz/ecml2019-demo-patent-analytics.

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Towards a Predictive Patent Analytics and Evaluation Platform

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Information

Published In

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

Sep 2019

818 pages

ISBN:978-3-030-46132-4

DOI:10.1007/978-3-030-46133-1

Editors:
Ulf Brefeld
Leuphana University, Lüneburg, Germany
,
Elisa Fromont
IRISA/Inria, Rennes, France
,
Andreas Hotho
University of Würzburg, Würzburg, Germany
,
Arno Knobbe
Leiden University, Leiden, The Netherlands
,
Marloes Maathuis
ETH Zurich, Zurich, Switzerland
,
Céline Robardet
Institut National des Sciences Appliquées, Villeurbanne, France

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 16 September 2019

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Abstract

References

Index Terms

Recommendations

Patent Mining: A Survey

A Feasible Dashboard to predict Patent Mining Using Classification Algorithms

Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)

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