Weighted distance-based trees for ranking data
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DOI: 10.1007/s11634-017-0306-x
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References listed on IDEAS
- Lee, Paul H. & Yu, Philip L.H., 2010. "Distance-based tree models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1672-1682, June.
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- Amodio, S. & D’Ambrosio, A. & Siciliano, R., 2016. "Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach," European Journal of Operational Research, Elsevier, vol. 249(2), pages 667-676.
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- Antonella Plaia & Simona Buscemi & Johannes Fürnkranz & Eneldo Loza Mencía, 2022. "Comparing Boosting and Bagging for Decision Trees of Rankings," Journal of Classification, Springer;The Classification Society, vol. 39(1), pages 78-99, March.
- Antonella Plaia & Simona Buscemi & Mariangela Sciandra, 2021. "Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings," 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. 15(4), pages 1015-1037, December.
- Juan Moreno-Garcia & Benito Yáñez-Araque & Felipe Hernández-Perlines & Luis Rodriguez-Benitez, 2022. "An Aggregation Metric Based on Partitioning and Consensus for Asymmetric Distributions in Likert Scale Responses," Mathematics, MDPI, vol. 10(21), pages 1-17, November.
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Keywords
Decision tree; Distance-based methods; Ranking data; Kemeny distance; SUSHI data; University ranking data;All these keywords.
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