Analyze. Here we have running queries, modeling, and
building algorithms to find new insights. Mining requires integrated, cleaned, trustworthy data; at the same time, data
mining itself can also be used to help improve the quality and
trustworthiness of the data, understand its semantics, and
provide intelligent querying functions [14]. Decision. Being
able to take valuable decisions means to be able to efficiently
interpret results from analysis. Consequently it is very important for the user to “understand and verify” outputs [14].
Furthermore, provenance of the data (supplementary information that explains how each result was derived) should be provided to help the user to understand what he obtains.