Application of Bayes Theorem to Accident Analysis and Classification

Abstract

In today's social context, "data" is a very common term. Data Science, Data analysis and other applications on different levels of Data have become very popular topics and even jobs. The main topic to be analyzed in this paper is Bayesian theorem. Bayesian theorem is a basic theorem in statistics, but with sufficient data support, Bayesian theorem can be applied in many fields. In this paper, this paper will analyze the application of Bayes' theorem in these two aspects: Bayes Theorem to Accident Analysis and Bayes Theorem to Classification. In terms of Bayes Theorem to Accident Analysis, this paper will analyze three papers that use Bayesian theorem to analyze accidents. In these papers, the authors have used Bayesian theorem to analyze different accidents. These accidents are: The causes and analysis of engineering accidents in mining areas, the analysis of causes of roof accidents in coal mines, and the analysis of the causes of highway traffic accidents. way of accident. In terms of Bayes Theorem to Classification, most of the authors use naive bayes to classify different data sets. The benefits of this classification are that whenever new data enters, researchers can easily classify new data sets. Incoming data is categorized.