data: Moved ex:snapshot here

text/introduction/main.tex

@@ -68,18 +68,5 @@ Typically, in such cases, we have a collection of data referring to the same ind
 Additionally, in many cases, the privacy-preserving processes should take into account implicit correlations and restrictions that exist, e.g.,~space-imposed collocation or movement restrictions.
 Since these data are related to most of the important applications and services that enjoy high utilization rates, privacy-preserving continuous data publishing becomes one of the emblematic problems of our time.
 
-To accompany and facilitate the descriptions in this chapter, we provide the following running example.
-
-\begin{example}
-  \label{ex:snapshot}
-  Users interact with an LBS by making queries in order to retrieve some useful location-based information or just reporting user-state at various locations.
-  This user--LBS interaction generates user-related data, organized in a  schema with the following attributes: \emph{Name} (the unique identifier of the table), \emph{Age}, \emph{Location}, and \emph{Status} (Table~\ref{tab:snapshot-micro}).
-  The `Status' attribute includes information that characterizes the user's state or the query itself, and its value varies according to the service functionality.
-  Subsequently, the generated data are aggregated (by issuing count queries over them) in order to derive useful information about the popularity of the venues during the day (Table~\ref{tab:snapshot-statistical}).
-
-  \includetable{snapshot}
-
-\end{example}
-
 \input{introduction/contribution}
 \input{introduction/structure}