Small Summaries for Big Data - Rilegato

Cormode, Graham; Yi, Ke

Rilegato

ISBN 10: 1108477445 ISBN 13: 9781108477444

Casa editrice: Cambridge University Press, 2020

Riassunto

A comprehensive introduction to flexible, efficient tools for describing massive data sets to improve the scalability of data analysis.

Su questo libro

Informazioni sugli autori

Graham Cormode is a Professor in Computer Science at the University of Warwick, doing research in data management, privacy and big data analysis. Previously, he was a principal member of technical staff at AT&T Labs-Research. His work has attracted more than 14,000 citations and has appeared in more than 100 conference papers, 40 journal papers, and been awarded 30 US Patents. Cormode is the co-recipient of the 2017 Adams Prize for Mathematics for his work on Statistical Analysis of Big Data. He has edited two books on applications of algorithms and co-authored a third.

Ke Yi is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He obtained his PhD from Duke University. His research spans theoretical computer science and database systems. He has received the SIGMOD Best Paper Award (2016), a SIGMOD Best Demonstration Award (2015), and a Google Faculty Research Award (2010). He currently serves as an Associate Editor of ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1108477445
• ISBN 13: 9781108477444
• Rilegatura: Copertina rigida
• Numero di pagine: 278
• Contatto del produttore: non disponibile
• Persona responsabile: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; Francia