Giovanni Porzio

Invited Session
Data Visualization for Smart Insights and Advanced Predictive Analytics
Organizer/Chair: Roberta Varriale (Sapienza Università di Roma)
Discussant: Ilaria Prosdocimi (Università Ca' Foscari Venezia)
Room: T30
Floor: ground
Short summary: Data visualization can be defined as the representation of data through the use of common graphs, such as charts, graphs, infographics, etc. These information visualizations communicate complex data relationships and data-driven insights in a way that is easy to understand. The science of data visualiza-tion comes from understanding how humans collect and process information: we process visual infor-mation much faster than text. In addition, the human brain decodes information through patterns and models. Effective data visualization is the final step in data analysis: without it, important information and messages can be lost and incorrect data visualization leads the audience to misunderstand the actual data and make wrong decisions. The session will examine three examples of data visualization from different fields of research: of-ficial statistics, private companies, and universities. The session will be an opportunity to exchange ideas and perspectives on a topic that is becoming fundamental to the communication of statistical infor-mation in a world of big and fast data.

Paper
Some Notes on the Use of the Circular Boxplot Author(s)  Davide Buttarazzi   Giovanni Porzio

Invited Session
Statistical Process Monitoring for Complex Data in Industry 4.0
Organizer/Chair: Christian Capezza (Università di Napoli Federico II)
Discussant: Alessandro Fassò, (Università degli studi di Bergamo)
Room: T36
Floor: ground
Short summary: The session addresses the challenges of monitoring and improving industrial processes in the context of Industry 4.0, where data are increasingly complex and high-dimensional. Talks cover advanced statistical techniques for anomaly detection, which are crucial for maintaining quality control and optimizing production processes. Attendees will gain insights into practical applications of statistical process monitoring and learn how to deal with complex data in Industry 4.0.

Paper
Anomaly Detection in Circular Data Author(s)  Houyem Demni   Giovanni Porzio