Recommending Database Architectures for Social Queries: A Twitter Case Study
- DOI
- 10.1007/978-3-030-79150-6_56
- Published
- 2021
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-79150-6_56,
title = {Recommending Database Architectures for Social Queries: A Twitter Case Study},
author = {Michael Marountas and Georgios Drakopoulos and Phivos Mylonas and Spyros Sioutas},
year = {2021},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-79150-6_56},
url = {https://doi.org/10.1007/978-3-030-79150-6_56}
}RIS
TY - JOUR TI - Recommending Database Architectures for Social Queries: A Twitter Case Study AU - Michael Marountas AU - Georgios Drakopoulos AU - Phivos Mylonas AU - Spyros Sioutas PY - 2021 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-79150-6_56 UR - https://doi.org/10.1007/978-3-030-79150-6_56 ER -
APA
Marountas, M., Drakopoulos, G., Mylonas, P., & Sioutas, S. (2021). Recommending Database Architectures for Social Queries: A Twitter Case Study. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-79150-6_56
Source records
- crossref · retrieved 2026-09-26T19:13:09.707Z