Attributes are the items of data that are used in data mining. In predictive models, attributes are the predictors that affect a given outcome. In descriptive models, attributes are the items of information being analyzed for natural groupings or associations. For example, a table of employee data that contains attributes such as job title, date of hire, salary, age, gender, and so on.