Τίτλος Ομιλίας:
Introduction to Data Analytics for Networks – A Historical Perspective and Major Advances
Ομιλητής: Prof. Panos Pardalos
Ημερομηνία: 26/10/2026
Ώρα 16:00
Χώρος Διεξαγωγής: Αίθουσα Συνεδριάσεων ΤΜΜ
Προσωπική ιστοσελίδα: https://faculty.eng.ufl.edu/pardalos/publications/
Abstract
Data analytics for networks involves the use of advanced techniques and tools to extract insights and knowledge from large and complex datasets generated by network devices, applications, and services.
This process involves collecting, storing, processing, and analyzing large amounts of data to identify patterns, trends, and anomalies that can provide valuable information for network operators.
By leveraging data analytics, network researchers can make informed decisions about network planning, capacity management, service delivery, and customer experience.
Additionally, data analytics can help network operators detect and respond to security threats and attacks by analyzing network traffic, identifying abnormal behavior, and detecting potential vulnerabilities.
Overall, data analytics is a critical component of massive networks, enabling researchers to extract valuable insights from large datasets and improve network performance, efficiency, and security.