What is Decision Tree

1.

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

2.

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

3.

A decision tree is a tree like model of decisions. In decision tree each branch represents the outcome of the test. Learn more in: Healthcare-Internet of Things and Its Components: Technologies, Benefits, Algorithms, Security, and Challenges

4.

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

5.

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

6.

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

7.

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

8.

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

9.

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

10.

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

11.

A diagram showing branching paths through various action sequences based on decisions made at various junctures. Learn more in: Incisive Real-Time Biosafety Decision-Making Under Societal Reopening: An Ego-Level Decision-Tree Understructure for a Serious Game (in the COVID-19 Pandemic Era)

12.

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

13.

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

14.

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

15.

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

16.

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

17.

It is a tree-like model that is used for making the decision. Learn more in: A Study on Supervised Machine Learning Technique to Detect Anomalies in Networks

18.

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

19.

Is a flowchart-like structure in which each internal node represents a “test” on an attribute. i.e., whether a coin flip comes up heads or tails, each branch represents the outcome of the test, and each leaf node represents a class label. Decision taken after computing all attributes. Learn more in: Machine Learning for Industrial IoT Systems

20.

A classification method that has the appearance of a tree structure. Learn more in: Comparison of Machine Learning Algorithms in Predicting the COVID-19 Outbreak

21.

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

22.

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

23.

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

24.

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

25.

Builds classification models in the form of a tree structure by breaking down a dataset into smaller and smaller subsets, while at the same time, an associated decision tree is incrementally developed. The final result is a tree with decision nodes (having two or more branches) and leaf nodes (representing a classification or decision). Learn more in: A Big Data Analysis of the Factors Influencing Movie Box Office in China

26.

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

27.

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

28.

A method that build a tree-like models to present all the possible consequences in different kinds of data is used in the process of data prediction. Learn more in: Airbnb (Air Bed and Breakfast) Listing Analysis Through Machine Learning Techniques

29.

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

30.

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

31.

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

32.

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

33.

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

34.

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

35.

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

36.

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

37.

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

38.

A machine learning algorithm that cascades data through a series of sequential decisions to determine classification or regression outcomes. Learn more in: Introduction to Machine Learning as a New Methodological Framework for Performance Assessment

39.

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

40.

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

41.

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

42.

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

43.

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

44.

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

45.

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