Applications of the Decision Tree in Business Field
- 10.2991/assehr.k.211209.151How to use a DOI?
- decision tree; machine learning; stock market; personal credit
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.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
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 -