DT,Decision Tree,decision trees,decisions trees,Decisions tree

Decision Tree - DT
Publications: 14,436| Citation Count: 129,751
Stemming Variations: decision trees, decisions trees, Decisions tree
Cumulative Annual
    • A decision tree is a classification algorithm that automatically derives a hierarchy of partition rules with respect to a target attribute of a large dataset...

    Xiang Liet al. A Spatial Entropy-Based Decision Tree for Classification of Geographic...

    • A decision tree is a comprehensible representation that has been widely used in many supervised machine learning domains. But decision trees have two notable problems – those of replication and fragmentation. One way of solving these problems is to introduce the notion of decision graphs – a generalization of the decision tree – which addresses the above problems by allowing for disjunctions, or joins...

    Peter J. Tanet al. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attr...

    • A decision tree is a method you can use to help make good choices, especially decisions that involve high costs and risks. Decision trees use a graphic approach to compare competing alternatives and assign values to those alternatives by combining uncertainties, costs, and payoffs into specific numerical values. A fuzzy decision tree is a generalization of the crisp case...

    Cengiz Kahraman. Investment Analyses Using Fuzzy Decision Trees

    • A decision tree is a comprehensible representation that has been widely used in many machine learning domains...

    Peter J. Tanet al. MML Inference of Decision Graphs with Multi-way Joins

    • A decision tree is a tree where each non-leaf or internal node is associated with a decision and the leaf nodes are generally associated with an outcome or class label. Each internal node tests one or more attribute values leading to two or more links or branches...

    M. Narasimha Murtyet al. Decision Trees

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