thething: Minor corrections for cor:thething-nb
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		@ -125,16 +125,16 @@ Two time series of equal lengths are \emph{{\thething} neighboring} when they di
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For example, the time series ($p_1$, \dots, $p_8$) with {\thethings} set the $\{p_1, p_3,p_5\}$ is {\thething} neighboring to the time series of Figure~\ref{fig:lmdk-scenario}.
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					For example, the time series ($p_1$, \dots, $p_8$) with {\thethings} set the $\{p_1, p_3,p_5\}$ is {\thething} neighboring to the time series of Figure~\ref{fig:lmdk-scenario}.
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%This means that we can obtain the first time series by adding/removing one event to/from the second time series.
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					%This means that we can obtain the first time series by adding/removing one event to/from the second time series.
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%to/from any one of two {\thething} neighboring series of events we can obtain the other series.
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					%to/from any one of two {\thething} neighboring series of events we can obtain the other series.
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% Therefore, Corollary~\ref{cor:thething-nb} follows.
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					Therefore, Corollary~\ref{cor:thething-nb} follows.
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We proceed to propose \emph{{\thething} privacy}, a configurable variation of differential privacy for time series (Definition~\ref{def:thething-prv}). 
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\begin{corollary}
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					\begin{corollary}
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  \label{cor:thething-nb}
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					  \label{cor:thething-nb}
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 Two {\thething} neighboring series of events are event neighboring as well.
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					  Two {\thething} neighboring time series are event neighboring as well.
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\end{corollary}
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					\end{corollary}
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%\kat{what is event neighboring?}
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					%\kat{what is event neighboring?}
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					We proceed to propose \emph{{\thething} privacy}, a configurable variation of differential privacy for time series (Definition~\ref{def:thething-prv}). 
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%\kat{Up to now M was a mechanism, now it is a set of mechanisms?}
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					%\kat{Up to now M was a mechanism, now it is a set of mechanisms?}
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\begin{definition}
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					\begin{definition}
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  % [{\Thething} privacy]
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					  % [{\Thething} privacy]
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