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计算机科学与技术学科数据库前沿技术系列讲座 | 子图匹配:过去与现在

发布时间:2021-06-23点击量:
姓名 林学民 时间 2021年6月24日(周四)16:00-17:00
地址 北校区主楼二区319

报告题目:子图匹配:过去与现在

报告时间:2021年6月24日(周四)16:00-17:00

报告地点:北校区主楼二区319

报告人简介

Xuemin Lin is a UNSW distinguished Professor - Scientia Professor, and the head of database and knowledge research group in the school of computer science and engineering at UNSW. Xuemin is adistinguished visiting Professor at Tsinghua University andvisiting Chair Professor at Fudan University. 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 large scale data, including graph, spatial-temporal, streaming, text and uncertain data.

Xuemin currently serves as the editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (Jan 2017 - now). He was an associate editor of ACM Transactions Database Systems (2008-2014) and IEEE Transactions on Knowledge and Data Engineering (Feb 2013- Jan 2015), and an associate editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2015-2016), respectively. He has been regularly serving as a PC member and area chairs/SPC in SIGMOD, VLDB, ICDE, ICDM, KDD, CIKM, and EDBT. He is a PC co-chair of ICDE2019 and VLDB2022.

报告摘要

Graph data are key parts 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 fundamental problems in managing and analysing graph data. In this talk, I will focus on a fundamental problem, subgraph matching. I will cover solutions for single computer, as well as distributed solutions.

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