decision tables; decision trees; greedy algorithms; optimisation; pattern classification; MVD tables; Mult_ws_entML greedy algorithm; Mult_ws_entSort greedy algorithm; average depth; conditional attributes; consistent data set; decision attribute values; decision tree classification; decision tree optimization; generalized approach; impurity measures; inconsistency handling; inconsistent data set; inconsistent decision tables; knowledge discovery; many-valued decision approach; most-common approach; node number; pattern discovery; uncertainty measures; Artificial intelligence; Decision trees; Greedy algorithms; Heuristic algorithms; Impurities; Measurement uncertainty; Uncertainty;
机译:多阶段优化决策与抑制树木与多价位决策的决策表
机译:从决策表和决策树中保护隐私的优化规则挖掘
机译:决策树代表具有多个决策的决策表的知识
机译:表示为MVD表的不一致决策表的决策树分类和优化
机译:将概率决策表转换为有效的决策树和图表
机译:OmniGA:用于通用分类模型的优化全变量决策树
机译:表示为MVD表的不一致决策表的决策树分类和优化
机译:将决策表转换为决策树