PREPOS ENVIRONMENT: A SIMPLE TOOL FOR DISCOVERING INTERESTING KNOWLEDGE

Resumen

The major limiting factors in the use of the KDD process are the operational difficulties in the preparation of data and in the analysis of the discovered patterns, difficulties arising from the skills required for processing in different environments, the way data are available, time required for the process, among others. The KDD process could be better use if there were a greater number of tools available. This article is aimed to provide the community with an environment – PREPOS – for support in the pre and post-processing steps, integrated with data mining algorithms, that is, it integrates the three steps of the KDD process. Thus, the environment proposed and developed provides a contribution to the KDD area, because besides the new integrated features made available, the new environment was implemented in open source platform, i.e., new features can be added to the structure built.