Visual Analytics of Heterogeneous Data for Criminal Event Analysis

摘要: 1 BACKGROUNDThe 2015 VAST Challenge presented researchers with a fictitious scenario that was surrounding a three-day weekend event involving Scott Jones, a renowned football star and a classic hometown hero, at the DinoFun World amusement park. In addition to the regular attractions at the park, the park had arranged for Scott to deliver two speeches on each day of the weekend along with a special exhibit that featured memorabilia in honor of his accomplishments. However, the event was marred by a criminal incident where certain individuals vandalized the exhibition on one of the days of the weekend. The challenge offered two mini-challenges and a grand challenge. The data was comprised of movement and communication information of all the visitors over the weekend. The grand challenge required to combine hypotheses and insights from the heterogeneous data of the mini-challenges in order to analyze and identify Scott’s activities, the criminal event, and issues with park operations during the three-day weekend. In this excerpt, we will present our visual analytics framework that was designed for the challenge and our analysis work-flow.