Twala, B2009-05-122009-05-122009Twala, B. 2009. Empirical comparison of techniques for handling incomplete data using decision trees. Applied Artificial Intelligence, pp 1-350883-9514http://hdl.handle.net/10204/3373Author Posting. Copyright Taylor & Francis, 2009. This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistributionIncreasing the awareness of how incomplete data affects learning and classification accuracy has led to increasing numbers of missing data techniques. This paper investigates the robustness and accuracy of seven popular techniques for tolerating incomplete training and test data for different patters of missing data; different proportions and mechanisms of missing data on resulting tree-based modelsenData handling techniquesIncomplete data handlingMissing data techniquesMDTsTree-based modelsMachine learningClassification accuracyDigital intelligenceArticleTwala, B. (2009). Empirical comparison of techniques for handling incomplete data using decision trees. http://hdl.handle.net/10204/3373Twala, B "Empirical comparison of techniques for handling incomplete data using decision trees." (2009) http://hdl.handle.net/10204/3373Twala B. Empirical comparison of techniques for handling incomplete data using decision trees. 2009; http://hdl.handle.net/10204/3373.TY - Article AU - Twala, B AB - Increasing the awareness of how incomplete data affects learning and classification accuracy has led to increasing numbers of missing data techniques. This paper investigates the robustness and accuracy of seven popular techniques for tolerating incomplete training and test data for different patters of missing data; different proportions and mechanisms of missing data on resulting tree-based models DA - 2009 DB - ResearchSpace DP - CSIR KW - Data handling techniques KW - Incomplete data handling KW - Missing data techniques KW - MDTs KW - Tree-based models KW - Machine learning KW - Classification accuracy KW - Digital intelligence LK - https://researchspace.csir.co.za PY - 2009 SM - 0883-9514 T1 - Empirical comparison of techniques for handling incomplete data using decision trees TI - Empirical comparison of techniques for handling incomplete data using decision trees UR - http://hdl.handle.net/10204/3373 ER -