Fraud investigators have recently recognized the importance of data visualization for fraud detection. Data visualization is especially important in the early stages of fraud investigation, where the investigator is attempting to perform an efficient and effective data analysis. The fraud investigator may employ data visualization as a proactive detection approach, using it to search for data patterns that suggest fraudulent activity. For each indicator thus identified, investigators design a data mining query or procedure intended to identify whether there are individual transactions that need to be examined more closely. Graphical analysis may facilitate identifying suspicious patterns of transactions in data (Lanza, 2005a). While spreadsheet programs can facilitate graphical analysis, such analysis can be cumbersome.
Auto111
http://cis.bentley.edu/vmrs/wp-content/uploads/2016/04/Dilla-Raschke-IJAIS-2015.pdf