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An Exploratory Technique for Investigating Large Quantities of Categorical Data

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  1. Ravi Kumar Jain & Ramachandran Natarajan & Amlan Ghosh, 2016. "Decision Tree Analysis for Selection of Factors in DEA: An Application to Banks in India," Global Business Review, International Management Institute, vol. 17(5), pages 1162-1178, October.
  2. Russell, Jesse & Macgill, Stephanie, 2015. "Demographics, policy, and foster care rates; A Predictive Analytics Approach," Children and Youth Services Review, Elsevier, vol. 58(C), pages 118-126.
  3. Legohérel, Patrick & Hsu, Cathy H.C. & Daucé, Bruno, 2015. "Variety-seeking: Using the CHAID segmentation approach in analyzing the international traveler market," Tourism Management, Elsevier, vol. 46(C), pages 359-366.
  4. Strobl, Carolin & Boulesteix, Anne-Laure & Augustin, Thomas, 2007. "Unbiased split selection for classification trees based on the Gini Index," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 483-501, September.
  5. Wei, Xiupeng & Kusiak, Andrew & Li, Mingyang & Tang, Fan & Zeng, Yaohui, 2015. "Multi-objective optimization of the HVAC (heating, ventilation, and air conditioning) system performance," Energy, Elsevier, vol. 83(C), pages 294-306.
  6. repec:mpr:mprres:7859 is not listed on IDEAS
  7. Francesca Gerini & Tommaso Fantechi & Caterina Contini & Leonardo Casini & Gabriele Scozzafava, 2022. "Adherence to the Mediterranean Diet and COVID-19: A Segmentation Analysis of Italian and US Consumers," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
  8. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
  9. Taha Rashidi & Abolfazl Mohammadian, 2011. "Household travel attributes transferability analysis: application of a hierarchical rule based approach," Transportation, Springer, vol. 38(4), pages 697-714, July.
  10. Fernanda Oliveira & Pedro Pintassilgo & Patrícia Pinto & Isabel Mendes & João Albino Silva, 2017. "Segmenting visitors based on willingness to pay for recreational benefits," Tourism Economics, , vol. 23(3), pages 680-691, May.
  11. Linwei Hu & Jie Chen & Joel Vaughan & Soroush Aramideh & Hanyu Yang & Kelly Wang & Agus Sudjianto & Vijayan N. Nair, 2021. "Supervised Machine Learning Techniques: An Overview with Applications to Banking," International Statistical Review, International Statistical Institute, vol. 89(3), pages 573-604, December.
  12. Lea Piscitelli & Annalisa De Boni & Rocco Roma & Giovanni Ottomano Palmisano, 2023. "Carbon Farming: How to Support Farmers in Choosing the Best Management Strategies for Low-Impact Food Production," Land, MDPI, vol. 13(1), pages 1-16, December.
  13. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
  14. Junyi Zhang & Yubing Xiong, 2015. "Effects of multifaceted consumption on happiness in life: a case study in Japan based on an integrated approach," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(2), pages 143-162, June.
  15. Elkins, Rosemary & Schurer, Stefanie, 2018. "Exploring the Role of Fathers in Non-Cognitive Skill Development over the Lifecourse," IZA Discussion Papers 11451, Institute of Labor Economics (IZA).
  16. Chih-Chiang Wei, 2012. "Discretized and Continuous Target Fields for the Reservoir Release Rules During Floods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3457-3477, September.
  17. Boštjan Brumen & Marjetka Rangus & Maja Turnšek Hancic & Tanja Lešnik Štuhec & Mitja Gorenak, 2017. "Slovenian Tourism Industry: E-Disabled," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 10(1), pages 19-26.
  18. Xiaohua Lin & Shaw Tao, 2012. "Transnational entrepreneurs: Characteristics, drivers, and success factors," Journal of International Entrepreneurship, Springer, vol. 10(1), pages 50-69, March.
  19. King, Bryn & Fallon, Barbara & Filippelli, Joanne & Black, Tara & O'Connor, Carolyn, 2018. "Troubled teens and challenged caregivers: Characteristics associated with the decision to provide child welfare services to adolescents in Ontario, Canada," Children and Youth Services Review, Elsevier, vol. 87(C), pages 205-215.
  20. Soyoung Park & Se-Yeong Hamm & Jinsoo Kim, 2019. "Performance Evaluation of the GIS-Based Data-Mining Techniques Decision Tree, Random Forest, and Rotation Forest for Landslide Susceptibility Modeling," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
  21. Ettema, Dick & Tamminga, Guus & Timmermans, Harry & Arentze, Theo, 2005. "A micro-simulation model system of departure time using a perception updating model under travel time uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 325-344, May.
  22. Waara, Nina & Brundell-Freij, Karin & Risser, Ralf & Ståhl, Agneta, 2015. "Feasible provision of targeted traveler information in public transportation: Segmentation based on functional limitations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 164-173.
  23. Xiao-Bai Li & James Sweigart & James Teng & Joan Donohue & Lori Thombs, 2001. "A Dynamic Programming Based Pruning Method for Decision Trees," INFORMS Journal on Computing, INFORMS, vol. 13(4), pages 332-344, November.
  24. Gustavo Nicolás Páez, 2015. "Prediciendo decisiones de agentes económicos: ¿Cómo determina el Banco de la República de Colombia la tasa de interés?," Documentos CEDE 12567, Universidad de los Andes, Facultad de Economía, CEDE.
  25. Eric Grau & Kirsten Barrett & Debra Wright & Yuhong Zheng & Barbara Carlson & Frank Potter & Sara Skidmore, "undated". "National Beneficiary Survey Round 4, (Volume 1 of 3): Editing, Coding, Imputation, and Weighting Procedures," Mathematica Policy Research Reports eb8675b8cbda49bdad49d1d20, Mathematica Policy Research.
  26. Kusiak, Andrew & Li, Mingyang & Tang, Fan, 2010. "Modeling and optimization of HVAC energy consumption," Applied Energy, Elsevier, vol. 87(10), pages 3092-3102, October.
  27. M C Deurloo & F M Dieleman & W A V Clark, 1987. "Tenure Choice in the Dutch Housing Market," Environment and Planning A, , vol. 19(6), pages 763-781, June.
  28. Linwei Hu & Jie Chen & Joel Vaughan & Hanyu Yang & Kelly Wang & Agus Sudjianto & Vijayan N. Nair, 2020. "Supervised Machine Learning Techniques: An Overview with Applications to Banking," Papers 2008.04059, arXiv.org.
  29. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
  30. Dana Rotz & Paul Burkander & Mary Grider & Kenneth Fortson & Linda Molinari & Elias Sanchez-Eppler & Lindsay Cattell, "undated". "Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs, Technical Supplement," Mathematica Policy Research Reports db04b33db50a4d45824da5a65, Mathematica Policy Research.
  31. Uğur Ercan, 2021. "The Determinants of Turkey Household Catastrophic Health Expenditures: A Different Approach by Data Mining," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 9(2), pages 229-246, December.
  32. Appel, Sheila U. & Botti, Derek & Jamison, James & Plant, Leslie & Shyr, Jing Y. & Varshney, Lav R., 2014. "Predictive analytics can facilitate proactive property vacancy policies for cities," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 161-173.
  33. De Luca, Francesco & Iaia, Lea & Mehmood, Asad & Vrontis, Demetris, 2022. "Corrigendum to “Can social media improve stakeholder engagement and communication of Sustainable Development Goals? A cross-country analysis”," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  34. Zeying Huang & Haijun Li & Jiazhang Huang, 2022. "Determinants of Nutrition Facts Table Use by Chinese Consumers for Nutritional Value Comparisons," IJERPH, MDPI, vol. 19(2), pages 1-11, January.
  35. Magalhães, David José Ahouagi Vaz de, 2021. "Analysis of critical factors affecting the final decision-making for online grocery shopping," Research in Transportation Economics, Elsevier, vol. 87(C).
  36. Ghosh, Atish R. & Qureshi, Mahvash S. & Kim, Jun Il & Zalduendo, Juan, 2014. "Surges," Journal of International Economics, Elsevier, vol. 92(2), pages 266-285.
    • Mahvash S Qureshi & Mr. Atish R. Ghosh & Mr. Juan Zalduendo & Mr. Jun I Kim, 2012. "Surges," IMF Working Papers 2012/022, International Monetary Fund.
  37. Todor Krastevich, 2023. "Retargeting Customers Using Uplift Modeling," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 78-99.
  38. Stack, Jim, 1995. "The analysis of survey data," European Journal of Operational Research, Elsevier, vol. 81(1), pages 1-16, February.
  39. Kim, Ahhyoun & Kim, Hyunjoong, 2022. "A new classification tree method with interaction detection capability," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
  40. Sebastian Klaudiusz Tomczak & Anna Skowrońska-Szmer & Jan Jakub Szczygielski, 2020. "Is Investing in Companies Manufacturing Solar Components a Lucrative Business? A Decision Tree Based Analysis," Energies, MDPI, vol. 13(2), pages 1-27, January.
  41. Fabio B. LOSA & Pau ORIGONI, 2005. "The socio-cultural dimension of women's labour force participation choices in Switzerland," International Labour Review, International Labour Organization, vol. 144(4), pages 473-494, December.
  42. Yongchun Huang & Paul Swamidass & Dheeraj A. Raju, 2016. "The nature of innovation in emerging industries in China: an exploratory study," The Journal of Technology Transfer, Springer, vol. 41(3), pages 451-468, June.
  43. van Riessen, B. & Negenborn, R.R. & Dekker, R., 2016. "Real-time Container Transport Planning with Decision Trees based on Offline Obtained Optimal Solutions," Econometric Institute Research Papers EI2016-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  44. Fabio Losa & Emiliano Soldini, 2011. "The Similar Faces of Swiss Working Poor - An Empirical Analysis across Swiss Regions using Logistic Regression and Classification Trees," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 147(I), pages 17-44, March.
  45. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2008. "Aspectos Metodológicos da Segmentação de Mercado: Base de Segmentação e Métodos de Classificação," FEP Working Papers 261, Universidade do Porto, Faculdade de Economia do Porto.
  46. Hayk Manucharyan, 2020. "How do managers actually choose suppliers? Evidence from revealed preference data," Working Papers 2020-12, Faculty of Economic Sciences, University of Warsaw.
  47. Danijel Bratina & Armand Faganel, 2023. "Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(1), pages 7-22.
  48. Mehran Fasihozaman Langerudi & Taha Hossein Rashidi & Abolfazl (Kouros) Mohammadian, 2016. "Individual trip rate transferability analysis based on a decision tree approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 370-388, June.
  49. Shih, Y. -S., 2004. "A note on split selection bias in classification trees," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 457-466, April.
  50. Sorensen, Kenneth & Janssens, Gerrit K., 2003. "Data mining with genetic algorithms on binary trees," European Journal of Operational Research, Elsevier, vol. 151(2), pages 253-264, December.
  51. Leo Guelman & Montserrat Guillen & Ana M. Pérez-Marín, 2014. "Optimal personalized treatment rules for marketing interventions: A review of methods, a new proposal, and an insurance case study," Working Papers 2014-06, Universitat de Barcelona, UB Riskcenter.
  52. Faisal Alamri & Ezz H. Abdelfattah & Khalid Sait & Nisreen M. Anfinan & Hesham Sait, 2021. "Building a Predictive Model for Gynecologic Cancer Using Levels of Data Analytics," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 7(4), pages 192-197, 10-2021.
  53. Milanović Marina & Stamenković Milan, 2016. "CHAID Decision Tree: Methodological Frame and Application," Economic Themes, Sciendo, vol. 54(4), pages 563-586, December.
  54. Kim, Seheon & Rasouli, Soora & Timmermans, Harry & Yang, Dujuan, 2018. "Estimating panel effects in probabilistic representations of dynamic decision trees using bayesian generalized linear mixture models," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 168-184.
  55. Tom Rom & Itzchak Levy & Saritte Perlman & Tomer Ziv-Baran & Orna Mor, 2022. "Determinants of Direct Costs of HIV-1 Outpatient Care in Israel," IJERPH, MDPI, vol. 19(21), pages 1-11, November.
  56. Jessica Alzamora-Ruiz & Carlos Guerrero-Medina & Myriam Martínez-Fiestas & Jaime Serida-Nishimura, 2020. "Why People Participate in Collaborative Consumption: An Exploratory Study of Motivating Factors in a Latin American Economy," Sustainability, MDPI, vol. 12(5), pages 1-25, March.
  57. Doove, L.L. & Van Buuren, S. & Dusseldorp, E., 2014. "Recursive partitioning for missing data imputation in the presence of interaction effects," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 92-104.
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  61. Omerašević Amela & Selimović Jasmina, 2020. "Classification Ratemaking Using Decision Tree in the Insurance Market of Bosnia and Herzegovina," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 124-139, December.
  62. Marquet, Oriol & Miralles-Guasch, Carme, 2014. "Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 210-222.
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  66. Marina Segura & Jorge Mello & Adolfo Hernández, 2022. "Machine Learning Prediction of University Student Dropout: Does Preference Play a Key Role?," Mathematics, MDPI, vol. 10(18), pages 1-20, September.
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  78. Camino González Vasco & María Jesús Delgado Rodríguez & Sonia de Lucas Santos, 2021. "Segmentation of Potential Fraud Taxpayers and Characterization in Personal Income Tax Using Data Mining Techniques," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 127-157, November.
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