The huge volume of data produced by different information sources has led to the
development of tools to retrieve relevant data. Using metadata, defined as" data about data" …

Much information stored in current databases is not always present at necessary different
levels of detail or granularity for Decision-Making Processes (DMP). Some organizations …

Abstract Symbolic Data Analysis is an extension of Classical Data Analysis to more complex
data types and tables through the application of certain conditions, where underlying …

Symbolic data not only serve to summarize large data sets, but also lead to more complex
data tables, thus enabling the manipulation of huge data sets (Billard and Diday, 2003). In …

We consider an extension of classical data analysis into symbolic data analysis to describe
the management process of biological datasets produced by multi-source clinical studies …