LaTeX-examples/presentations/Datamining-Proseminar/Hauptpresentation/LaTeX/Ueberblick.tex

\subsection{Überblick}
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\begin{frame}{Random Walk}
    \begin{figure}
        \begin{tikzpicture}[->,scale=1.8, auto,swap]
            % Draw the vertices. First you define a list.
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                                    {(1,0)/d/}, {(2,1)/e/e}, {(3,1)/f/b}, 
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                                        g/f/bend right, i/f/bend left,
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        \end{tikzpicture}
    \end{figure}

    Klassifizieren des roten Knotens:
    \begin{itemize}
        \item Zählen von Knotenbeschriftungen in Random Walks
        \item 4 Random Walks
        \item 3 Sprünge pro Random Walk
        \item<11> $4 \cdot a$, $2 \cdot b \Rightarrow$ Rot mit $a$ klassifizieren
    \end{itemize}
\end{frame}

\begin{frame}{Wortknoten}
    \begin{itemize}
        \item<1-> Neben Struktur können Texte genutzt werden
        \item<2-> Einschränkung: Effizienz!
        \item<3-> Wünschenswert: Wenig weiterer Programmieraufwand
        \item<4-> Idee: Graph erweitern
        \begin{itemize}
            \item<5-> Texte als Wortmengen
            \item<6-> Strukturknoten verweisen auf Wortknoten
            \item<7-> vice versa
        \end{itemize}
    \end{itemize}
\end{frame}

\framedgraphic{}{../images/wortknoten-visualisierung.pdf}
\framedgraphic{Erweiterter, semi-bipartiter Graph}{../images/graph-content-and-structure.pdf}