Computer Tool Prototype for the Selections of Views to Materialize in Data Cubes and Frequent Pattern

The widespread availability of new computational methods and tools for data analysis represents a great challenge for new students who need to now the basics. It is difficult the selection of the most appropriate strategy and the collection of methods in data mining it’s a good example. Some of these methods require guidelines that may help practitioners in the appropriate selection of data mining tools. In the present paper it is showed the proposal of a tool which shows visually the implementation of an algorithm for the selection of the optimal set of views to materialize from a multidimensional cube, being the main parameter the materialization cost of those views. The tool allows defining operations with cubes on different dimensions from a list of business questions that can be performance on them, all this in order to ease students the learning and understanding of data cube generation in data mining discipline.