報告題目：Towards Big Graph Processing: Applications, Challenges, and Advances
報告時間：2019年1月10日下午4：00
報告地點：校本部民主樓小禮堂
報告簡介：Graphdata are keyparts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications. Over the last decade, tremendous research efforts have been devoted to many fundamentalproblemsin managing and analysing graph data. In this talk, I willcover various applications, challenges, and recent advances. We will also look to the future of the area.
報告人簡介：Xuemin Lin is a UNSW Scientia Professor,the head of database group in the school of computer science and engineering at UNSW, and a current Professor at ECNU (specially appointed by the Chinese National Thousands Distinguished Professors Program).He is a fellow of IEEE. Xuemin's research interests lie in databases, data mining, algorithms, and complexities. Specifically, he is working in the areas of scalable processing and mining of various data, including graph, spatial-temporal, streaming, text and uncertain data.
Xuemin has been very frequently serving as a PC memberand area chairs (senior PC members)in SIGMOD, VLDB, ICDE, ICDM, KDD, CIKM, and EDBT. He received the honour of outstanding reviewer in KDD2012. He was an associate editor of ACM TODS (2008-2014) and IEEE TKDE (Feb 2013- Jan 2015), and an associate editor-in-Chief of TKDE (2015-2016), respectively. Currently, he is the editor-in-Chief of TKDE (Jan 2017 - now) and an associate editor of WWW Journal (2013 - now).
