Data mining is commonly used by companies to get information from a large database and a wide range of information origin. It is a process that turns raw materials into useful information. An family tree example of a process used in data mining is a decision tree. A decision tree is a tool that is used to identify the consequences of the decisions that are to be made. It is a treelike graph that is considered as a support model that will declare a specific decision’s outcome.To know what a decision tree looks like, download our Family Tree Template.You may also see Analysis templates.
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Example of Decision Tree Analysis
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A decision tree helps companies to know more information about their decision-making processes. It helps them to have a preview of a chance event outcome and how it can affect their operations. Though current processes can also benefit in the use of a decision tree, operational research is what is commonly in need of this type of algorithm display.The structure of a decision tree is composed of three main elements:
- Root node. It is the topmost node of a decision tree.
- Branches. Each branch of a decision tree has the main purpose of showing the outcome of a test that is shown on the internal nodes.
- Leaf node. A leaf node holds a specific class label, which is the test done on a present attribute.
A decision tree is very useful since the analysis of whether a business decision shall be made or not depends on the outcome that a decision tree will provide. The decision tree paths are the classification rules that are being represented by how these paths are arranged from the root node to the leaf nodes.
Nonetheless, the nodes of the decision tree come in three types. They are as follows:
- The square nodes represent the decision nodes.
- The circle nodes are visual representations of a chance node.
- End nodes are represented by the shape of a triangle.
Knowing the representations of information in a decision tree is very important as they differ both in meaning and in usage. You need to be able to classify them just by visually categorizing the details.
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What is great in using the decision tree is that all the data written there are easy to interpret. The structure of the decision tree is simple, precise, and cohesive. When used properly, a decision tree can provide information on the values of specific decisions and analyze whether they are good or bad for the processes of the business operations.Now that you have the basic information about a decision tree, browse through our Photo Family Tree Template for additional knowledge on other kinds of diagrams.