EdgER: Entity Resolution at the Edge for Next Generation Web Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62362-2_13
Reference42 articles.
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2. Altwaijry, H., Kalashnikov, D.V., Mehrotra, S.: QDA: a query-driven approach to entity resolution. IEEE Trans. Knowl. Data Eng. 29, 402–417 (2017). https://doi.org/10.1109/TKDE.2016.2623607
3. Altwaijry, H., Mehrotra, S., Kalashnikov, D.V.: Query. Proc. VLDB Endowment 9, 120–131 (2015). https://doi.org/10.14778/2850583.2850587
4. Bandara, K., Hewamalage, H., Liu, Y.H., et al.: Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recogn. 120, 108148 (2021). https://doi.org/10.1016/j.patcog.2021.108148
5. Brecko, A., Kajati, E., Koziorek, J., Zolotová, I.: Federated learning for edge computing: a survey. Appl. Sci. (2022). https://api.semanticscholar.org/CorpusID:252258593
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