Final answer:
The single exponential and moving average models can be used to address data integrity problems. Regression can also be helpful, but it may not specifically focus on data integrity.
Step-by-step explanation:
Data integrity problems in computer science can be addressed using various models, and one such model is the single exponential smoothing model. This model is often used to predict future values of a time series based on past observations. It calculates a weighted average of the previous data points to provide a forecast for the next data point.
Another model that can help deal with data integrity problems is the moving average model. This model calculates the average of a specified number of previous data points to smooth out any fluctuations and identify trends.
On the other hand, the regression model is used to determine the relationship between variables and make predictions based on that relationship. While it can be useful in analyzing data, it may not specifically address data integrity problems.