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SEGMENTATION USING A DECISION TREE
Published:
2020-08-21
https://doi.org/10.47282/ECONOMICA/2018/9/2/4133
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Copyright (c) 2018 Faculty of Economics and Business of John von Neumann University
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Dudás, P. (2020). SEGMENTATION USING A DECISION TREE. Economica, 9(2), 49-54. https://doi.org/10.47282/ECONOMICA/2018/9/2/4133
Abstract
In the field of economics, the knowledge of high-level mathematical and statistical methods is necessary for a demanding analysis. Today the various items, indexes, and distributions are user-friendly analytical tools that have been built into computer programmes. In the case of uncertain decisions, decision trees are being applied in more and more areas. Using this method, decision rules can be created, so they can be used for segmentation as well. The study presents a
classification suitable for such a grouping.