Applications of the Decision Tree in Business Field

DOI

10.2991/assehr.k.211209.151How to use a DOI?

Keywords

decision tree; machine learning; stock market; personal credit

Abstract

With the advent of the information age and the development of the Internet, the data show explosive growth, machine learning is becoming a more and more popular field. This paper lists some different applications of decision trees in the business fields which are related to personal credit and the stock market, The data of this paper are all collected from the official website. With two examples, two different algorithms are used to establish the models which are the C4.5 algorithm and the C5.0 algorithm respectively. Therefore, two algorithms would be discussed and compared in this paper to illustrate both their advantages and disadvantages. C5.0 is an advanced algorithm based on the invention of C4.5. For some variables with a relatively small number of indicators and simple logical relationships, the prediction accuracy of the decision tree algorithm is high, which makes this algorithm suitable for analyzing the data.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Zixuan Zhang
PY  - 2021
DA  - 2021/12/15
TI  - Applications of the Decision Tree in Business Field
BT  - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)
PB  - Atlantis Press
SP  - 926
EP  - 929
SN  - 2352-5428
UR  - https://doi.org/10.2991/assehr.k.211209.151
DO  - 10.2991/assehr.k.211209.151
ID  - Zhang2021
ER  -