VIT-PLA : Visual Interactive Tool for Process Log Analysis

Techniques for analyzing and visualizing process or workflow data have been developed and applied in a wide range of domains. Visual analysis of large process logs and integration of statistical analysis, however, have been limited. We introduce the Visual Interactive Tool for Process Log Analysis (VIT-PLA) that provides a simplified process log visualization and performs statistical correlation analysis on process attributes. We demonstrate its use by applying it to an artificial dataset and running a preliminary analysis of trauma team task data collected from a medical emergency department.

[1]  Alessandro Sperduti,et al.  PLG: a Process Log Generator , 2010 .

[2]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[3]  Ivan Marsic,et al.  Duration-Aware Alignment of Process Traces , 2016, ICDM.

[4]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[5]  Wil M. P. van der Aalst,et al.  Context Aware Trace Clustering: Towards Improving Process Mining Results , 2009, SDM.

[6]  Song,et al.  Supporting proces mining by showing events at a glance , 2007 .

[7]  Wil M. P. van der Aalst,et al.  Workflow mining: discovering process models from event logs , 2004, IEEE Transactions on Knowledge and Data Engineering.

[8]  Wil M. P. van der Aalst,et al.  Process diagnostics using trace alignment: Opportunities, issues, and challenges , 2012, Inf. Syst..

[9]  S. Czepiel,et al.  Maximum Likelihood Estimation of Logistic Regression Models : Theory and Implementation , 2022 .

[10]  Fei Wang,et al.  Mining and exploring care pathways from electronic medical records with visual analytics , 2015, J. Biomed. Informatics.

[11]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[12]  David Gotz,et al.  Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization , 2012, IEEE Transactions on Visualization and Computer Graphics.

[13]  Randall S Burd,et al.  Adherence to ATLS primary and secondary surveys during pediatric trauma resuscitation. , 2013, Resuscitation.

[14]  Ben Shneiderman,et al.  Temporal Event Sequence Simplification , 2013, IEEE Transactions on Visualization and Computer Graphics.

[15]  Ben Shneiderman,et al.  Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics , 2015, IUI.

[16]  Wil M. P. van der Aalst,et al.  Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .

[17]  Fei Wang,et al.  Frequence: interactive mining and visualization of temporal frequent event sequences , 2014, IUI.

[18]  Stuart Barber,et al.  All of Statistics: a Concise Course in Statistical Inference , 2005 .

[19]  H. Boxma,et al.  Clinical impact of advanced trauma life support. , 2004, The American journal of emergency medicine.

[20]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .