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Visualization in Process Mining Proposed Alternative Titles Survey of graph visualization techniques in process mining Visualizing process models: requirements, analysis, system evaluation Proposed aim and Content of the paper Aim: Carry out a survey of the visualization techniques that are currently being used to present process mining results and to Evaluate their effectiveness. Optional Addition: Come up with an approach that will endeavour overcome the limitations that have been identified from the evaluation (possibly a combination of graph visualizations) Proposed Structure (1) The paper will have 5 sections, that is; Introduction Key concepts and definitions Review of visualization techniques used in process mining (Visualization techniques) Evaluation of visualization Techniques Conclusion Proposed Structure (2) The paper will have 6 sections, that is; Introduction Key concepts and definitions Review of visualization techniques used in process mining (Visualization techniques) Evaluation of visualization Techniques Proposed approach Conclusion Introduction This section will give an overview of the process mining outlining the challenges. It will also give an overview of why visualization can be used as mean to solving some of the challenges i.e. Displaying complex or large process models arising from process mining. Key concepts and definitions Process Mining What it is. Aim of process mining. Visualization What it is. Purpose. Visualization Techniques Graph Visualization This is a technique that is used to display data that has elements that have a relation between them. Data presentation is characterized by nodes and edges; the nodes representing the data elements and the edges represent the relation between them. Graph visualization has been applied in various domains including real-time systems represented as state-transition system Graph visualization cont’d In process mining, process models may be constructed as Petri nets or EPCs. As Petri nets, the data elements can take either of two kinds of nodes; a place or a transition and the relation between them is represented as directed edges. Each graph has a layout associated to it. This determines the way the nodes and edges appear or are displayed. The most commonly used graph layout in process mining is the tree layout. Matrix Visualization Matrices This involves the presentation of data inform of a matrix (rows and columns in a matrix) and converting this data matrix to a matrix map. Each data entry is represented as by a dot or square of a given colour (Legát, 2005). This has been used in the dotted chat and the cloud chamber. Some of the performance analysis results are displayed using this technique. Clustering Clustering Clustering is a process of grouping data or discovering classes of data based on a number of conditions or rules. Clustering is a concept used in visualization to group related data, as a means to reduce on complexity and space being utilized to display a large graph (Herman et al., 2000). This technique has not been used independently in process mining results. It has been used to clusters related tasks or events in EPC process model diagrams for example it is has been used in conjunction with the fuzzy miner.