REBDT: A regular expression boundary-based decision tree model for Chinese logistics address segmentation
Author:
Funder
National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03511-6.pdf
Reference40 articles.
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3. Bartoli A., De Lorenzo A., Medvet E., Tarlao F. (2018) Active learning of regular expressions for entity extraction. IEEE Trans Cybern 48(3):1067–1080. https://doi.org/10.1109/TCYB.2017.2680466
4. Bioch J.C., Meer O., Potharst R. (1997) Bivariate decision trees. In: J. Komorowski, J. Zytkow (eds) Principles of Data Mining and Knowledge Discovery, vol. 1263, pp. 232–242. Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-63223-9_122. http://link.springer.com/10.1007/3-540-63223-9_122
5. Bollwein F., Westphal S. (2021) A branch & bound algorithm to determine optimal bivariate splits for oblique decision tree induction Applied Intelligence. https://doi.org/10.1007/s10489-021-02281-x
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