Data mining application in designing popular and optimal travel packages

We developed a strategy to design a travel package with the most popular and appropriate elements for the traveler; at the same time, this strategy minimizes the operation and processing costs of the travel agency. Association rules as a data mining technique is implemented to develop this model. We rely on the available massive travel agency database to make essential decisions related to the optimality of designing the travel package. A heuristic algorithm is an approach used to solve the final model. An illustrative numerical example based on a made-up data set is also provided.