Department of Computer Engineering
S E M I N A R
Mining tensor data
Dr. Hadi Fanaee Tork
University of Oslo, Norway
We begin by explaining basic concepts such as tensors and tensor decompositions and their importance in data mining. Later on a toy example of supermarket sales we explain how to generate tensor data from a regular database. Next, we briefly demonstrate how to perform various data mining tasks on tensor data such as data completion, correspondence analysis, co-clustering, outlier detection, event detection, anomaly detection, feature extraction and dimensionality reduction, link prediction, forecasting, recommendation and topic modelling. Afterwards, the applications of tensor decomposition in various disciplines will be shown in an illustrative way. The talk will be closed by brief introduction of state-of-the-art methods, software, tools and bibliography.
Bio: Hadi Fanaee-T received his PhD degree (with distinction) in Computer Science from Faculty of Science of University of Porto, Portugal in November 2015. Currently he is a postdoctoral researcher in department of biostatistics at University of Oslo, Norway. Before that he spent one year in the European FP7 Project .MAESTRA. at INESC TEC research institute, Portugal. His main research interests are interdisciplinary applications of tensor decompositions, anomaly/event detection and spatiotemporal data mining. He has served as a Senior PC member for IJCAI2015, PC Member for ECML-PKDD 2013-15 and also reviewer for TDKE, DMKD, ML, KAIS, KBS, CSUR and many more scientific venues. He was invited talk at the summer school on "mining big and complex data" held in Ohrid, Macedonia, September 2016. He is co-advisor of one PhD student, one visiting PhD student, and two research fellows. He is also the leader and main developer in SimTensor software project (www.simtensor.org).
DATE: 26 January 2017, Thursday @ 13:40