HIGHLIGHTS
SUMMARY
This process, known as the data discretization, is essential in data preprocessing, not only because certain machine_learning methods do not work with continuous attribute values but also because the data transformed into interval sets are cognitively relevant for human interpretation. There are some investigations on the influence of data distribution on the discretization algorithm results. The question is: Should the Data Understanding process be included in discretization cretization algorithms? algorithms? An Cuts Selection Selection Method Method on on particular particular data data sets sets is is shown shown in in method. This algorithm slightly . . .
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