Topics on Data and Information Management: SBBD 2022 Short Courses

Authors

Ticiana L. Coelho da Silva (ed)
Federal University of Ceará (UFC)
Eduardo Ogasawara (ed)
Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ)
Damires Souza (ed)
Federal Institute of Paraíba (IFPB)
Sérgio Lifschitz (ed)
Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
DOI: https://doi.org/10.5753/sbc.10309.7

Keywords:

SBBD 2022, Databases

Synopsis

This book of the XXXVII Brazilian Symposium on Databases (SBBD 2022) includes three book chapters written by the authors of the selected short courses and presented in the edition of the event held from September 19 to 23, 2022. The chapters address issues related to Natural Language Processing, NoSQL Database Design, and Using Meta-Learning in Deep Learning tasks. The short course program committee was composed of professors Ticiana L. Coelho da Silva (UFC), Damires Yluska de Souza Fernandes (IFPB), and Anne Magály de Paula Canuto (UFRN), under the coordination of the former.

The richness of this issue can be mainly credited to the authors and reviewers. We thank them a lot for their insightful contributions and discussions during SBBD 2022.

Chapters

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Publication date

September 19, 2022

Series

Topics on Data and Information Management

Categories

Copyright (c) 2022 The authors

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Details about the available publication format: Full Volume

Full Volume

ISBN-13 (15)

978-85-7669-511-0