What is Advantages and Disadvantages of Associative Model?

The associative model, often used in data mining and machine learning, has several advantages, including the ability to uncover hidden patterns and relationships in large datasets, which can enhance decision-making and predictive analytics. However, it also has disadvantages, such as potentially generating false associations or overfitting the data, leading to misleading conclusions. Additionally, the model can be computationally intensive and may require significant preprocessing of data to achieve meaningful results.