Advances in International Applied Mathematics

Bayesian methods play a key role in the field of data mining by constructing probabilistic models to reveal the underlying laws and patterns behind the data. Bayesian methods have significant advantages in text classification, association rule mining, and anomaly detection and prediction. As a statistical inference method based on probability theory, Bayesian inference is widely used in the field of data mining, which helps us understand and analyse complex data more deeply. In the fields of text classification, sentiment analysis, spam detection, financial risk control, etc., Bayesian inference shows its unique advantages. Looking ahead, with the improvement of computing power, optimisation of algorithms, and deep integration with advanced technologies such as deep learning, Bayesian inference will continue to play a key role in the field of data mining, bringing more possibilities and opportunities for the development and application of artificial intelligence.

Bayesian methods; Data mining; Statistics