【物流讲坛】 Data-driven knowledge discovery for structural MRI of Alzheimer’s disease patients
主讲人：Giuseppe Di Fatta教授
Alzheimer’s disease (AD) is a chronic neurodegenerative disease which is largely responsible for dementia in around 6% of the population aged 65 and above. The growing availability of human brain data generated by imaging techniques, such as Magnetic Resonance Imaging (MRI), have resulted in a growing interest in data-driven approaches for the diagnosis of neurological disorders and for the identification of their causes. The knowledge discovery process typically involves complex data workflows that combine pre-processing techniques, statistical methods, machine learning and data mining algorithms, post-processing and visualisation techniques. This talk presents specific research efforts in this direction. The promising results, as usual, have exposed many issues and new challenges for the data mining/data science community.
Dr Giuseppe Di Fatta is an Associate Professor of Computer Science and the Head of the Department of Computer Science at the University of Reading, UK. In 1999, he was a research fellow at the International Computer Science Institute (ICSI), Berkeley, CA, USA. From 2000 to 2004, he was with the High-Performance Computing and Networking Institute of the National Research Council, Italy. From 2004 to 2006, he was with the University of Konstanz, Germany. His research interests include data mining algorithms, distributed and parallel computing, and multidisciplinary applications. He has published over 90 articles in peer-reviewed conferences and journals. He serves in the editorial board of the Elsevier Journal of Network and Computer Applications. He is the co-founder of the IEEE ICDM Workshop on Data Mining in Networks and has chaired several international events, such as the 2015 International Conference on Internet and Distributed Computing Systems.