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.