In monetary economics, models with multiple equilibria abound, especially in the case of models with overlapping generations such as the Cash-In-Advance model. Using inverse limits, [KS] establish a topological classification of the arising multiple equilibria and analyze the backward dynamics of the model. However, their work remains strictly theoretical and lacks any relevant examples supporting the theory. In this paper we corroborate the classification by presenting a family of examples that illustrate all possible cases from the classification.

Data mining is the process of extracting useful information or patterns from large raw sets of data. In recent years the amount of data being collected has increased tremendously, which has resulted in the development of new and more complex data mining algorithms to go through the vast data. However, the rate of growth of the new computer systems does not equal the growth of the datasets and the complexity of these data mining algorithms.