Machine learning and databases: The sound of things to come or a cacophony of hype?

Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael Cafarella, Michael Jordan, Tim Kraska, Raghu Ramakrishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)
Original languageEnglish
Title of host publicationSIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages283-284
Number of pages2
ISBN (Electronic)9781450327589
DOIs
Publication statusPublished - 27 May 2015
EventACM SIGMOD International Conference on Management of Data, SIGMOD 2015 - Melbourne, Australia
Duration: 31 May 20154 Jun 2015

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
Volume2015-May
ISSN (Print)0730-8078

Other

OtherACM SIGMOD International Conference on Management of Data, SIGMOD 2015
CountryAustralia
CityMelbourne
Period31/5/154/6/15

Keywords

  • Database research
  • Machine learning
  • Panel

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Ré, C., Agrawal, D., Balazinska, M., Cafarella, M., Jordan, M., Kraska, T., & Ramakrishnan, R. (2015). Machine learning and databases: The sound of things to come or a cacophony of hype? In SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (pp. 283-284). (Proceedings of the ACM SIGMOD International Conference on Management of Data; Vol. 2015-May). Association for Computing Machinery. https://doi.org/10.1145/2723372.2742911