Decision tree learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Decision tree learning" in English language version.

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  • Ritschard, G. (2013), "CHAID and Earlier Supervised Tree Methods", in J.J. McArdle and G. Ritschard (eds), Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, Quantitative Methodology Series, New York: Routledge, pages 48-74. Preprint
  • Deng, H.; Runger, G.; Tuv, E. (2011). Bias of importance measures for multi-valued attributes and solutions. Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN). pp. 293–300.

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  • Studer, Matthias; Ritschard, Gilbert; Gabadinho, Alexis; Müller, Nicolas S. (2011). "Discrepancy Analysis of State Sequences". Sociological Methods & Research. 40 (3): 471–510. doi:10.1177/0049124111415372. ISSN 0049-1241. S2CID 13307797.

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  • Studer, Matthias; Ritschard, Gilbert; Gabadinho, Alexis; Müller, Nicolas S. (2011). "Discrepancy Analysis of State Sequences". Sociological Methods & Research. 40 (3): 471–510. doi:10.1177/0049124111415372. ISSN 0049-1241. S2CID 13307797.
  • Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.
  • Rokach, Lior; Maimon, O. (2014). Data mining with decision trees: theory and applications, 2nd Edition. World Scientific Pub Co Inc. doi:10.1142/9097. ISBN 978-9814590075. S2CID 44697571.
  • Quinlan, J. R. (1986). "Induction of decision trees" (PDF). Machine Learning. 1: 81–106. doi:10.1007/BF00116251. S2CID 189902138.
  • Rokach, L.; Maimon, O. (2005). "Top-down induction of decision trees classifiers-a survey". IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews. 35 (4): 476–487. CiteSeerX 10.1.1.458.7031. doi:10.1109/TSMCC.2004.843247. S2CID 14808716.
  • Rodriguez, J. J.; Kuncheva, L. I.; Alonso, C. J. (2006). "Rotation forest: A new classifier ensemble method". IEEE Transactions on Pattern Analysis and Machine Intelligence. 28 (10): 1619–1630. CiteSeerX 10.1.1.156.8277. doi:10.1109/TPAMI.2006.211. PMID 16986543. S2CID 6847493.
  • Rivest, Ron (Nov 1987). "Learning Decision Lists" (PDF). Machine Learning. 3 (2): 229–246. doi:10.1023/A:1022607331053. S2CID 30625841.
  • Letham, Ben; Rudin, Cynthia; McCormick, Tyler; Madigan, David (2015). "Interpretable Classifiers Using Rules And Bayesian Analysis: Building A Better Stroke Prediction Model". Annals of Applied Statistics. 9 (3): 1350–1371. arXiv:1511.01644. doi:10.1214/15-AOAS848. S2CID 17699665.
  • Hothorn, T.; Hornik, K.; Zeileis, A. (2006). "Unbiased Recursive Partitioning: A Conditional Inference Framework". Journal of Computational and Graphical Statistics. 15 (3): 651–674. CiteSeerX 10.1.1.527.2935. doi:10.1198/106186006X133933. JSTOR 27594202. S2CID 6074128.
  • Barsacchi, M.; Bechini, A.; Marcelloni, F. (2020). "An analysis of boosted ensembles of binary fuzzy decision trees". Expert Systems with Applications. 154: 113436. doi:10.1016/j.eswa.2020.113436. S2CID 216369273.
  • Piryonesi S. Madeh; El-Diraby Tamer E. (2020-06-01). "Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems". Journal of Transportation Engineering, Part B: Pavements. 146 (2): 04020022. doi:10.1061/JPEODX.0000175. S2CID 216485629.
  • Ben-Gal I. Dana A., Shkolnik N. and Singer (2014). "Efficient Construction of Decision Trees by the Dual Information Distance Method" (PDF). Quality Technology & Quantitative Management. 11 (1): 133–147. doi:10.1080/16843703.2014.11673330. S2CID 7025979. Archived from the original (PDF) on 2016-06-04. Retrieved 2014-02-13.
  • Principles of Data Mining. 2007. doi:10.1007/978-1-84628-766-4. ISBN 978-1-84628-765-7. S2CID 45746.
  • Painsky, Amichai; Rosset, Saharon (2017). "Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance". IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (11): 2142–2153. arXiv:1512.03444. doi:10.1109/TPAMI.2016.2636831. PMID 28114007. S2CID 5381516.
  • Barros, Rodrigo C.; Basgalupp, M. P.; Carvalho, A. C. P. L. F.; Freitas, Alex A. (2012). "A Survey of Evolutionary Algorithms for Decision-Tree Induction". IEEE Transactions on Systems, Man, and Cybernetics. Part C: Applications and Reviews. 42 (3): 291–312. CiteSeerX 10.1.1.308.9068. doi:10.1109/TSMCC.2011.2157494. S2CID 365692.
  • Barros, R. C.; Cerri, R.; Jaskowiak, P. A.; Carvalho, A. C. P. L. F. (2011). "A bottom-up oblique decision tree induction algorithm". Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011). pp. 450–456. doi:10.1109/ISDA.2011.6121697. ISBN 978-1-4577-1676-8. S2CID 15574923.

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  • Studer, Matthias; Ritschard, Gilbert; Gabadinho, Alexis; Müller, Nicolas S. (2011). "Discrepancy Analysis of State Sequences". Sociological Methods & Research. 40 (3): 471–510. doi:10.1177/0049124111415372. ISSN 0049-1241. S2CID 13307797.
  • Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.
  • Biggs, David; De Ville, Barry; Suen, Ed (1991). "A method of choosing multiway partitions for classification and decision trees". Journal of Applied Statistics. 18 (1): 49–62. Bibcode:1991JApSt..18...49B. doi:10.1080/02664769100000005. ISSN 0266-4763.
  • Hu, Liangyuan; Li, Lihua (2022-12-01). "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series". International Journal of Environmental Research and Public Health. 19 (23): 16080. doi:10.3390/ijerph192316080. ISSN 1660-4601. PMC 9736500. PMID 36498153.
  • Provost, Foster, 1964- (2013). Data science for business : [what you need to know about data mining and data-analytic thinking]. Fawcett, Tom. (1st ed.). Sebastopol, Calif.: O'Reilly. ISBN 978-1-4493-6132-7. OCLC 844460899.{{cite book}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)