• 21 Citations
  • 2 h-Index
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Fingerprint Dive into the research topics where Yasser Idris is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Learning systems Engineering & Materials Science
Drag Engineering & Materials Science
Specifications Engineering & Materials Science
Monitoring Engineering & Materials Science
Data fusion Engineering & Materials Science
Cleaning Engineering & Materials Science
Costs Engineering & Materials Science
Industry Engineering & Materials Science

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Research Output 2016 2018

  • 21 Citations
  • 2 h-Index
  • 2 Conference contribution
  • 1 Conference article

Rheemstudio: Cross-platform data analytics made easy

Lucas, J., Idris, Y., Contreras-Rojas, B., Quiane Ruiz, J. A. & Chawla, S., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1553-1556 4 p. 8509400

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

Learning systems
7 Citations (Scopus)

RHEEM: Enabling cross platform data processing

Agrawal, D., Chawla, S., Contreras-Rojas, B., Elmagarmid, A., Idris, Y., Kaoudi, Z., Kruse, S., Lucas, J., Mansour, E., Ouzzani, M., Papotti, P., Quiane´-Ruiz, J. A., Tang, N., Thirumuruganathan, S. & Troudi, A., 1 Jan 2017, In : Proceedings of the VLDB Endowment. 11, 11, p. 1414-1427 14 p.

Research output: Contribution to journalConference article

14 Citations (Scopus)

Rheem: Enabling multi-platform task execution

Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., Idris, Y., Kaoudi, Z., Khayyat, Z., Kruse, S., Ouzzani, M., Papotti, P., Quiane Ruiz, J. A., Tang, N. & Zaki, M. J., 26 Jun 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, Vol. 26-June-2016. p. 2069-2072 4 p.

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

Data fusion
Learning systems