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August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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Reproducible and Reliable Distributed Classification of Text Streams

P. 264–265.
Trofimov A., Шавкунов М. В., Reznick S., Sokolov N., Ютман М. А., Kuralenok I., Novikov B.

Large-scale classification of text streams is an essential problem that is hard to solve. Batch processing systems are scalable and proved their effectiveness for machine learning but do not provide low latency. On the other hand, state-of-the-art distributed stream processing systems are able to achieve low latency but do not support the same level of fault tolerance and determinism. In this work, we discuss how the distributed streaming computational model and fault tolerance mechanisms can affect the correctness of text classification data flow. We also propose solutions that can mitigate the revealed pitfalls.

Language: English
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DOI
Keywords: распределенные системыdistributed computingstreamingПотоковая обработка данных

In book

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems
NY: Association for Computing Machinery (ACM), 2019.
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