2
Intermediation and use of CSDMs[2] 2.1 Theoretical approach
The appearance of Big Data has resulted as a consequence of technical inability
to collect and use efficiently data of different types. Some authors re-explain
this idea and reported technical limitations of synthesis, analysis and
extraction of complex data [14][15]. Those data are translated into huge mass
of further information or results that causes
ambiguous problem of searching for knowledge and extracting most relevant
information on databases (Knowledge Discovery in Databases)[16].
In this confused situation our approach falls within this framework of
the problem of the unemployment duration. Trying to answer to this question in
the light of empirical experiences and theoretical background, we began the
analysis using algorithmic associations in the real application context [17][18].
We also sought to increase the potential of computer system interaction with human
expert user, associated to a situation where researches and academic evidences are
very sketchy dealing with such problematic.