The main purpose of data analytics and mining is to find novel, potentially useful patterns that can be utilized in real-world application. For identifying and evaluating the usefulness of different kinds of patterns, many techniques and constraints have been proposed. In recent years, there has been an increasing demand for utility-oriented pattern analytic and mining since it can be utilized to discover more useful and meaningful information rather than fundamental binary-based pattern mining approaches.