diff --git a/text/preliminaries/correlation.tex b/text/preliminaries/correlation.tex
index b2af4c4..7f490ef 100644
--- a/text/preliminaries/correlation.tex
+++ b/text/preliminaries/correlation.tex
@@ -6,7 +6,8 @@ In this Section we study the most prominent types of correlation, practices for
 
 \subsection{Types of correlation}
 \label{subsec:cor-types}
-The most prominent types of correlation are \emph{temporal}, \emph{spatial}, and \emph{spatiotemporal}.
+The most prominent types of correlation are:
+% \emph{temporal}, \emph{spatial}, and \emph{spatiotemporal}.
 
 \begin{itemize}
   \item \emph{Temporal}~\cite{wei2006time}---appearing in observations (i.e.,~values) of the same object over time.
diff --git a/text/preliminaries/data.tex b/text/preliminaries/data.tex
index 781a0b6..6f1fcbf 100644
--- a/text/preliminaries/data.tex
+++ b/text/preliminaries/data.tex
@@ -11,7 +11,8 @@ A typical category of such data are \emph{user-generated data} which are the out
 These interactions result in the generation of \emph{data items} which are tuples that typically contain a user identifier, a timestamp, and context information (e.g.,~location, activity, etc.)
 We firstly classify data based on their
 % content \kat{'based on their content' reminds me of health data, trajectories, etc., not if they are aggregated or not. }:
-form in \emph{microdata} and \emph{statistical data}.
+form in:
+% \emph{microdata} and \emph{statistical data}.
 
 % \kat{Use full sentences, even in the bullets. }
 % \mk{OK}
@@ -46,7 +47,8 @@ Data, in either of these two forms, may have a special property called~\emph{con
 % \kat{If you say that data may have a special property called continuity, we wonder about the existence of other properties. Be more explicit on why you choose to mention only this property.}
 % \mk{OK}
 Observing the evolution of the data attribute values over time may offer valuable insight regarding the underlying population not only about the past but also both about the present and future.
-Depending on the span of the observation, we categorize data in \emph{finite} and \emph{infinite}.
+Depending on the span of the observation, we categorize data in:
+% \emph{finite} and \emph{infinite}.
 
 \begin{itemize}
   \item \emph{Finite data} are observed during a predefined time interval.
@@ -73,7 +75,8 @@ Depending on the span of the observation, we categorize data in \emph{finite} an
 % \kat{Why isn't next the presentation of sequential and incremental in bullets, as for the categories before?}
 % \mk{Fixed}
 
-We further define two sub-categories applicable to both finite and infinite data: \emph{sequential} and \emph{incremental} data; these two subcategories are not exhaustive, i.e.,~not all data sets belong to the one or the other category.
+We further define two sub-categories, which are not exhaustive, i.e.,~not all data sets belong to the one or the other category, applicable to both finite and infinite data: 
+% \emph{sequential} and \emph{incremental} data; these two subcategories are not exhaustive, i.e.,~not all data sets belong to the one or the other category.
 
 \begin{itemize}
   \item \emph{Sequential data} have variable values that change depending on their previous values.
@@ -86,7 +89,8 @@ We further define two sub-categories applicable to both finite and infinite data
 \subsection{Data processing and publishing}
 \label{subsec:data-publishing}
 
-We categorize data processing and publishing based on what entity has access to the raw data in the \emph{global} and \emph{local} schemes.
+We categorize data processing and publishing based on what entity has access to the raw data in the following schemes:
+% \emph{global} and \emph{local} schemes.
 % \kat{what does the implemented scheme refer to?}
 % \mk{These are the bullet points... I change it}
 
@@ -128,7 +132,8 @@ Although there have been attempts to bridge the gap between them, e.g.,~\cite{bi
 % \kat{this last sentence is out of context for the thesis dissertation. Please, explain why you said all that, but w.r.t. the  thesis.}
 % \mk{Omitting it seems to resolve the issue}
 
-We distinguish publishing modes for private data between \emph{snapshot} and \emph{continuous}.
+We distinguish publishing modes for private data between:
+% \emph{snapshot} and \emph{continuous}.
 % \kat{I do not like that you present some of the categories as bullets and others as plain text. Be consistent in one format.}
 % \mk{You're right}
 
@@ -143,7 +148,8 @@ We distinguish publishing modes for private data between \emph{snapshot} and \em
   % \kat{but so far you have already presented other categories for processing and publishing; why do you say here two main modes?}
   % \mk{Merged it with continuous}
 
-  We further categorize continuous publishing mode into \emph{batch} and \emph{streaming}.
+  We further categorize continuous publishing mode into:
+  % \emph{batch} and \emph{streaming}.
   \begin{itemize}
     \item \emph{Batch mode} (Figure~\ref{fig:mode-batch}) considers data in groups in specific time intervals.
     It is performed (usually offline) over both finite and infinite data