Volume Two - Academic Conferences

Cristina Wanzeller and Orlando Belo
used to accomplish transformation and analysis activities, as well humans to provide complementary
descriptions. The data collection begins when a new problem arises, within a problem-solving use of
the system. Nevertheless, a new case may be integrated into de system independently from problem
solving. The analyst describes some datasets characteristics (e.g. variables semantic category) but
most metadata is extracted automatically (e.g. variables data type, number of distinct and null values),
as exemplified on Table 2. The data collection proceeds, with more intensity, during the Conciliate
and Retain steps. Again, user interaction with the analysts is required to gather information. However,
concerning mining activities, PMML documents are a very important source of knowledge to the MPS
system semi-automated learning approach.
Figure 3 shows a PMML document excerpt. We focus the mining activities gathering from PMML
documents, presenting the main item types which may be extracted (on Table 3). The used dataset
describes the page visits from msnbc.com, on September 28, 1999, whose dataset is available from
the UCI KDD Archive. We have few cases on MPS repository, based on this well know dataset.
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