Patent Knowledge Discovery Using Data Analytics

Author:

Ampornphan Pranomkorn1,Tongngam Sutep1

Affiliation:

1. Graduate School of Applied Statistics, National Institute of Development Administration, Bangkapi, Bangkok, THAILAND

Publisher

ACM Press

Reference8 articles.

1. Abbas, A., Zhang, L., and Khan, S. 2014. A literature review on the state-of-art in patent analysis. J. World Patent Information. 37 (June 2014), 3--13. DOI= https://doi.org/10.1016/j.wpi.2013.12.006

2. Wirth, R. 2000. Towards a standard process model for data mining. In Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining 2000, 29--39.

3. Agrawal, R. and Srikant, R. 1994. Fast Algorithms for Mining Association Rules. In 20th International Conference on Very Large Databases (Morgan Kaufmann, Los Altos, CA, 1994), 478--499.

4. Witten, I.H., Frank, E., and Hall, M.A. 2011. Data Mining. Morgan Kaufmann, Burlington, MA.

5. Larose, D., and Larose, C. 2014. Discovering Knowledge in Data. John Wiley Sons, Inc., Hoboken, NJ.

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1. Technology Intelligence: Geothermal Energy;Future‐Oriented Technology Assessment;2024-09-06

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