Palestra Internacional: Big Data and Machine Learning under the Leaning Tower (por Dr. Raffaele Perego)
Title: Big Data and Machine Learning under the Leaning Tower
Speaker and Affiliation: Raffaele Perego (HPC Lab, ISTI-CNR, Pisa)
Date: Monday 25th, 10:30
Room: 105 (Auditório do INE)
Sponsorship: Project “Master: Multiple ASpects TrajEctoRy Mangement and Analysis” (H2020-MSCA-RISE-2017 – Marie Skłodowska-Curie Research and Innovation Staff Exchange)
Abstract: In the talk we will first introduce HPC Lab research group at ISTI-CNR in Pisa and the H2020 Marie Slodowska-Curie European Project MASTER involving HPC Lab and UFSC with the objective of forming an international and inter-sectoral network of researchers working on multiple-aspects semantic trajectories. In the second part of the talk we will survey some recent research results of the group in the field of efficient algorithms for big data analytics and machine learning. The talk will focus on different application fields — e.g., ranking in web search, indexing of semantic data, event attendance prediction from social media — characterised by demanding requirements for scalability, efficiency and effectiveness.
Speaker’s Short Bio: Raffaele Perego is a senior researcher at ISTI, where he leads the HPC Lab. His main research interests include: large-scale information systems, web search, data mining and machine learning. Raffaele Perego co-authored more than 170 papers on these topics. He coordinated activities in several EC projects in the FP7 and H2020 work programmes. In 2014, he was a recipient of the Yahoo FREP award, and in 2015 co-recipient of the ACM SIGIR Best Paper Award. He was general Co-Chair of ACM SIGIR 2016 Conference.