Integrity Constraints on Rich Data Types

Inbunden, Engelska, 2023

Av Shaoxu Song, Lei Chen

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Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures.

Produktinformation

Utgivningsdatum2023-03-31
Mått168 x 240 x 15 mm
Vikt456 g
FormatInbunden
SpråkEngelska
SerieSynthesis Lectures on Data Management
Antal sidor146
FörlagSpringer International Publishing AG
ISBN9783031271762

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Shaoxu Song is an Associate Professor in the School of Software at Tsinghua University in Beijing, China. His research interests include data quality and data integration. He has published more than 50 papers in top conferences and journals such as SIGMOD, VLDB, ICDE, ACM TODS, VLDBJ, IEEE TKDE, etc. He served as a Vice Program Chair for the 2022 IEEE International Conference on Big Data (IEEE BigData 2022) and received the Distinguished Reviewer award from VLDB 2019 and an Outstanding Reviewer award from CIKM 2017.Lei Chen is a Chaired Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology and the Director of the HKUST Big Data Institute. He received the SIGMOD Test-of-Time Award in 2015 and served as the Program Committee Co-Chair of VLDB 2019 and ICDE 2023. He is currently the Editor-in-Chief of the VLDB Journal, and the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE). He is an IEEE Fellow and ACM Distinguished Scientist.