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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. 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.
  4. repec:mpr:mprres:7859 is not listed on IDEAS
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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).
  18. Stack, Jim, 1995. "The analysis of survey data," European Journal of Operational Research, Elsevier, vol. 81(1), pages 1-16, February.
  19. Kim, Ahhyoun & Kim, Hyunjoong, 2022. "A new classification tree method with interaction detection capability," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Milanović Marina & Stamenković Milan, 2016. "CHAID Decision Tree: Methodological Frame and Application," Economic Themes, Sciendo, vol. 54(4), pages 563-586, December.
  29. 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.
  30. 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.
  31. Jonathan Zufferey, 2016. "Investigating the migrant mortality advantage at the intersections of social stratification in Switzerland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(32), pages 899-926.
  32. Marinaccio, Alessandro & Gariazzo, Claudio & Di Marzio, Davide & Iavicoli, Sergio, 2020. "Predictors of filing claims and receiving compensation in malignant mesothelioma patients," Health Policy, Elsevier, vol. 124(9), pages 1032-1040.
  33. 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.
  34. 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.
  35. 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.
  36. Coussement, Kristof & Van den Bossche, Filip A.M. & De Bock, Koen W., 2014. "Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees," Journal of Business Research, Elsevier, vol. 67(1), pages 2751-2758.
  37. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
  38. Xuedong Yan & Fan Zhang & Dan Gao & Chen Zeng & Wang Xiang & Man Zhang, 2013. "Accumulations of Heavy Metals in Roadside Soils Close to Zhaling, Eling and Nam Co Lakes in the Tibetan Plateau," IJERPH, MDPI, vol. 10(6), pages 1-17, June.
  39. Yan Zhang & Peter Trubey, 2019. "Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1043-1063, October.
  40. Glennon, Dennis & Kiefer, Nicholas M. & Larson, C. Erik & Choi, Hwan-sik, 2007. "Development and Validation of Credit-Scoring Models," Working Papers 07-12, Cornell University, Center for Analytic Economics.
  41. Yang, Dujuan & Timmermans, Harry & Grigolon, Anna, 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis," Journal of Transport Geography, Elsevier, vol. 33(C), pages 170-179.
  42. Mónica Martínez-Gómez & Jose Sierra & José Jabaloyes & Manuel Zarzo, 2011. "A multivariate method for analyzing and improving the use of student evaluation of teaching questionnaires: a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1415-1427, October.
  43. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.
  44. Timmins, Christopher & Vissing, Ashley, 2022. "Environmental justice and Coasian bargaining: The role of race, ethnicity, and income in lease negotiations for shale gas," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
  45. Yu-Shan Shih & Kuang-Hsun Liu, 2019. "Regression trees for detecting preference patterns from rank data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(3), pages 683-702, September.
  46. Tomàs Aluja-Banet & Eduard Nafria, 2003. "Stability and scalability in decision trees," Computational Statistics, Springer, vol. 18(3), pages 505-520, September.
  47. Eric Grau & Yuhong Zheng & Debra Wright & Sara Skidmore & Hanzhi Zhou & Kirsten Barrett, "undated". "National Beneficiary Survey-General Waves Round 5 (Volume 1 of 3): Editing, Coding, Imputation, and Weighting Procedures," Mathematica Policy Research Reports 800a3a54e26449bb9d425293b, Mathematica Policy Research.
  48. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
  49. Landi, Stefano & Ivaldi, Enrico & Testi, Angela, 2018. "Socioeconomic status and waiting times for health services: An international literature review and evidence from the Italian National Health System," Health Policy, Elsevier, vol. 122(4), pages 334-351.
  50. Sachiko Kiyama & Katsuo Tamaoka & Masato Takiura, 2012. "Applicability of Brown and Levinson’s Politeness Theory to a Non-Western Culture," SAGE Open, , vol. 2(4), pages 21582440124, December.
  51. A. Israëls & J. Driel, 1983. "Use of the chi-square statistic for selecting explanatory variables in multiway tables," Quality & Quantity: International Journal of Methodology, Springer, vol. 17(2), pages 103-116, April.
  52. Joh, Chang-Hyeon & Lee, Backjin & Bin, Miyoung & Arentze, Theo & Timmermans, Harry, 2011. "Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1245-1251.
  53. Jorge V Pérez-Rodríguez & Francisco Ledesma-Rodríguez, 2021. "Unconditional quantile regression and tourism expenditure: The case of the Canary Islands," Tourism Economics, , vol. 27(4), pages 626-648, June.
  54. I. Albarrán & P. Alonso-González & J. M. Marin, 2017. "Some criticism to a general model in Solvency II: an explanation from a clustering point of view," Empirical Economics, Springer, vol. 52(4), pages 1289-1308, June.
  55. Brito, Pedro Quelhas & Pratas, Joaquim, 2015. "Tourism brochures: Linking message strategies, tactics and brand destination attributes," Tourism Management, Elsevier, vol. 48(C), pages 123-138.
  56. Schwartz, Ira M. & York, Peter & Nowakowski-Sims, Eva & Ramos-Hernandez, Ana, 2017. "Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience," Children and Youth Services Review, Elsevier, vol. 81(C), pages 309-320.
  57. Mohammad Zounemat-Kermani & Abdollah Ramezani-Charmahineh & Reza Razavi & Meysam Alizamir & Taha B.M.J. Ouarda, 2020. "Machine Learning and Water Economy: a New Approach to Predicting Dams Water Sales Revenue," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1893-1911, April.
  58. Debdatta Saha & T. M. Vasuprada, 2021. "Investigating Commercial Incentives for Innovation: An Application in Traditional Medicine," Studies in Microeconomics, , vol. 9(1), pages 66-91, June.
  59. Kusiak, Andrew & Li, Mingyang & Zhang, Zijun, 2010. "A data-driven approach for steam load prediction in buildings," Applied Energy, Elsevier, vol. 87(3), pages 925-933, March.
  60. Fatima Zahra Azayite & Said Achchab, 2019. "A hybrid neural network model based on improved PSO and SA for bankruptcy prediction," Papers 1907.12179, arXiv.org.
  61. Atish R Ghosh & Jonathan D Ostry & Mahvash S Qureshi, 2015. "Exchange Rate Management and Crisis Susceptibility: A Reassessment," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(1), pages 238-276, May.
  62. Bernard Bracy, Jill M. & Bao, Ken Q. & Mundy, Ray A., 2019. "Highway infrastructure and safety implications of AV technology in the motor carrier industry," Research in Transportation Economics, Elsevier, vol. 77(C).
  63. Nocella, Giuseppe & Stefani, Gianluca & Romano, Donato, 2011. "Preferences, trust and willingness to pay for food information: An analysis of the Italian Market," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114606, European Association of Agricultural Economists.
  64. Antipov, Evgeny & Pokryshevskaya, Elena, 2009. "Applying CHAID for logistic regression diagnostics and classification accuracy improvement," MPRA Paper 21499, University Library of Munich, Germany.
  65. Amela Omeraševiæ & Jasmina Selimoviæ, 2020. "Risk factors selection with data mining methods for insurance premium ratemaking," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 667-696.
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  68. Yanke Zhu & Jiqian Fang, 2016. "Logistic Regression–Based Trichotomous Classification Tree and Its Application in Medical Diagnosis," Medical Decision Making, , vol. 36(8), pages 973-989, November.
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  76. Auld, Joshua & Mohammadian, Abolfazl (Kouros) & Doherty, Sean T., 2009. "Modeling activity conflict resolution strategies using scheduling process data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 386-400, May.
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  112. Todor Krastevich, 2023. "Retargeting Customers Using Uplift Modeling," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 78-99.
  113. 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.
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