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Spiros Papadimitriou is a research staff member at IBM T.J. Watson. His main interests are data mining for graphs and streaming data, clustering, time series and systems for large-scale data processing. He has published more than thirty papers on these topics in refereed conferences and journals. He has three invited journal publications in best paper issues,several book chapters and he has filed multiple patents. He was a Siebel scholarship recipient in 2005 and received the best paper award in SDM 2008.He has also been invited to give keynote talks on graph and social network analysis (WAAMD 2008, and ADN 2009) and tutorials on time series stream mining (University of Maine Summer School, 2008). He obtained his BSc in Computer Science from the University of Crete, Heraclion and his MSc and PhD degrees from Carnegie Mellon University.
Large-scale Data Mining: MapReduce and Beyond
as author at Tutorials,
together with: Jimeng Sun, Rong Yan,