报告题目：Managing Next-Generation of Data: Streaming Data with High Redundancy and Low Value Density
报告日期及时间：3月10日15:00
报告地点：计算机大楼B403
报告人： Professor Xiaofang Zhou
报告人单位： The University of Queensland
报告人简介： Professor Xiaofang Zhou is a Professor of Computer Science at The University of Queensland, Australia, leading the Data and Knowledge Engineering (DKE) Group at UQ. His research focus is to find effective and efficient solutions for managing, integrating and analyzing very large amount of complex data for business, scientific and personal applications. He has been working in the area of spatial and multimedia databases, data quality, high performance database systems and data mining. He is a Program Committee Chair for IEEE ICDE 2013, ACM CIKM 2016 and a General Chair of ACM Multimedia 2015. He has been an Associate Editor of The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, World Wide Web Journal, Distributed and Parallel Databases, and IEEE Data Engineering Bulletin. He is the current Chair of IEEE Technical Committee on Data Engineering (TCDE). He is also an Adjunct Professor appointed under the Chinese National “Thousand Talents Plan” scheme hosted by Soochow University, leading Soochow Advanced Data Analytics Lab there.
报告摘要： Machine-to-machine (M2M) data, often found in sensor networks, GPS and RFID applications, vehicle on-board devices and medical monitoring devices, is the next generation of data we need to manage and process. In addition to large volumes and streaming nature, such data typically have high level of redundancy and low value density. There is a need to develop a new breed of database management systems that can support search streaming M2M as well as managing historical data. In this talk we advocate a novel database approach to data storage, cleaning, compression, hierarchal summarisation, indexing and query processing for M2M data. A semantic pyramid is the key for managing M2M data, where data can be abstracted at different but inter-linked levels in a systematic and efficient way. We also give some examples for some current research activities in this emerging area.
邀请人： 彭智勇 教授 彭煜伟 副教授
