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学术报告——Spatial and textual data management
时间: 2016-11-07 10:29  来源: 计算机学院

 

报告题目:Spatial and textual data management

报告人:Dr. Xin CaoPhDLecturer, School of Computer Science and EngineeringUniversity of New South Wales, Australia

报告时间:2016111010:00

报告地点:学院报告厅(望江校区基础教学大楼B302

 

报告内容:

With the proliferation of geo-positioning techniques and mobile devices such as smart phones and tablet computers, the web is increasingly being used by mobile users and accurate user positioning is increasingly available. As a result, a spatial, or geographical web is emerging where both contents and users are associated with locations. This leads to the fact that massive amounts of objects are available on the web that possess both a geographical location and a textual description. Such spatial and textual data objects include stores, tourist attractions, hotels, restaurants, businesses, entertainment services, etc. In this talk, I will generally introduce some techniques of spatial and textual data management, including data indexing, querying, and mining.

 

报告人简介:

Xin Cao is currently a lecturer in School of Computer Science and Engineering at University of New South Wales (UNSW) in Australia. During 2014 to 2016 he worked as a lecturer in the Knowledge and Data Engineering cluster at Queen's University Belfast in UK. He received his PhD degree in computer science and engineering from Nanyang Technological University (NTU) in 2014. Prior to joining NTU, he worked as a scientific assistant in the Center for Data-Intensive Systems (Daisy) in Aalborg University (AAU) for two years. He received his B.Eng. and M.Eng. degrees in computer science and technology from Zhejiang University. His research interests include data management (in particular on spatial, temporal, and textual data), databases, information retrieval, and data mining. Most of his work was published in premier database conferences and journals, such as SIGMOD, VLDB, ICDE, and TODS. He is on the reviewer board of several top tier database journals, such as TODS, The VLDB Journal, and TKDE.

 

欢迎广大师生踊跃参加!

 

 

外事科

                                                    2016117






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