What is Decision Tree

A symbolic learning classifier that represents a discrete function by a decision tree. Learn more in: Machine Learning

A visual representation of a decision problem that forms tree-like predictive models with the aim of helping people to make better decisions. Learn more in: Applications for Data Mining Techniques in Customer Relationship Management

A tree like structure for modeling decisions and classifying data. Learn more in: Applying Artificial Intelligence to Financial Investing

A diagram consisting of square decision nodes, circle probability nodes, and branches representing decision alternatives. Learn more in: Decision Trees

A graphical representation for a decision problem that specifies the decisions that must be made, the chance events the decision maker faces, and the possible outcomes that result from the decisions and chance events that occurs. Learn more in: Utility Functions and Risk Attitudes in Decision Analysis

A decision tree is a graph that uses a branching method to illustrate every possible outcome of a decision. Each branch of the decision tree represents a possible decision or occurrence. The tree structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive. Learn more in: Evolutionary Algorithms for Global Decision Tree Induction

A tree like structure for modeling decisions and classifying data. Learn more in: Artificial Intelligence and Investing

A tool to help make decisions based on a set of rules that help to navigate the tree along its branches. Learn more in: Data Mining Tools: Association Rules

Is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. Learn more in: Computational Approach for Personality Detection on Attributes: An IoT-MMBD-Enabled Environment

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Decision support method that uses a tree-like graph with algorithm for partitioning. Learn more in: Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models

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A tree like structure that is used for classification of different records. Learn more in: Application of Data Mining Techniques on Library Circulation Data for Library Material Acquisition and Budget Allocation

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A decision tree consists of a root node, representing a decision, a set of intermediate (event) nodes, representing some kind of uncertainty and consequence nodes, representing possible final outcomes. Usually, probability distributions are assigned in the form of weights in the probability nodes as measures of the uncertainties involved. Learn more in: Decision Making in Intelligent Agents

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A schematic tree-shaped diagram used to determine a course of action or show a statistical probability. Each branch of the decision tree represents a possible decision or occurrence. Learn more in: RIP Technique for Frequent Itemset Mining

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A classifier in the form of a tree structure, where each node is either a leaf node or a decision node. A leaf node indicates the value of the target attribute (class) of examples. Learn more in: Application to Bankruptcy Prediction in Banks

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Intelligent model based on rules and used to predict. Learn more in: Implementation of an Intelligent Model Based on Machine Learning in the Application of Macro-Ergonomic Methods in a Human Resources Process Based on ISO 12207

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A tree like structure for modeling decisions and classifying data. Learn more in: Applying Artificial Intelligence to Financial Investing

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A decision analysis method that, on the basis of the known probability of various situations, calculates the probability of the expected value of the net present value being greater than or equal to zero by constructing the decision tree, evaluates the project risk, and determines its feasibility. Learn more in: Crime Hotspot Prediction Using Big Data in China

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Decision tree is a decision support tool that uses tree-like model to explore the possible outcomes. Learn more in: Introduction to Python and Its Statistical Applications

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Decision trees are useful for topics that can be given in the form of unit answers such as category or class name Learn more in: Data Mining Applications in a Medical System: A Case Study

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A predictive model which can be visualized in a hierarchical structure using leaves and ramifications. Learn more in: Decision Tree Applications for Data Modelling

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A decision tree is a graph that uses a branching method to illustrate every possible outcome of a decision. Each branch of the decision tree represents a possible decision or occurrence. The tree structure shows how one choice leads to the next, and the use of branches indicates that each option is mutually exclusive. Learn more in: Global Induction of Classification and Regression Trees

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A graphical representation or plot that reflects the initial states, evolution and possible outcome of a CA that is guided by specified rules. Learn more in: Cellular Automata-Basics: Applications in Problem Solving

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A tool to help make decisions based on a set of rules that help to navigate the tree along its branches. Learn more in: Data Mining Tools: Formal Concept Analysis and Rough Sets

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this is a scheme in which the person decides according to the given possibilities and then proceeds to the goal to which he/she had established his / her previous selections/decisions. Learn more in: Financial Sources for Company Scale-Up

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A tree-like way of representing a collection of hierarchical decision rules that lead to a class or value, starting from a root node ending in a series of leaf nodes. Learn more in: Fuzzy Decision Trees

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It is graphical illustration of sequence of actions which result in utility or loss. Learn more in: Data Guided Public Healthcare Decision Making

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Is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm. Learn more in: Advances in QoS/E Characterization and Prediction for Next Generation Mobile Communication Systems

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It is technique for classifying data. The root node of a decision tree represents all examples. If these examples belong to two or more classes, then the most discriminating attribute is selected and the set is split into multiple classes. Learn more in: Data Mining in Tourism

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A rooted, ordered, and labeled tree. Given a boolean function on n-variables (tests), a decision tree is a deterministic algorithm for deciding which variable to test next, based on the previously tested variables and the results of their evaluation, until the function’s value can be determined. Learn more in: Guided Interactive Diagnostic Assistance

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A tree-like structure for representing a collection of hierarchical decision rules that lead to a class or value, starting from a root node ending in a series of leaf nodes. Learn more in: Fuzzy Decision Trees

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A predictive model induced from quantitative and qualitative (nominal, categorical) data. Learn more in: Creating and Analyzing Induced Decision Trees From Online Learning Data

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is intuitive way for specifying decision procedures, a simple visual representation (an acyclic, directed graph). Learn more in: Languages and Tools for Rule Modeling

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It is a tree-like way of representing a collection of hierarchical decision rules that leads to a class or value, starting from a root node ending in a series of leaf nodes. Learn more in: Fuzzy Decision-Tree-Based Analysis of Databases

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A representation of knowledge in a tree-like form usually used for classification. The non-terminal nodes of the tree represent questions, the terminal nodes represent class labels and the edges represent answers to questions. Learn more in: Machine Learning

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It is a decision support tool to display an algorithm that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs and utility. Learn more in: A New Tree-Based Classifier for Satellite Images

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A decision tree is a tool that uses a tree like graph to model decisions and consequences to help managers incorporate uncertainty in valuations. Learn more in: Optimizing Investment Decisions Using DCF, Decision Tree Analysis, and Real Options Analysis: The Case of Hotel Expansions

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