Jeyhun Karimov

According to our database1, Jeyhun Karimov authored at least 17 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SASPAR: Shared Adaptive Stream Partitioning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Incremental Stream Query Merging.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Efficient Data Transfer in Shared-storage Cloud Data Processing Systems with OPTICS.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2020
Ad-Hoc stream query processing.
PhD thesis, 2020

2019
Stream Benchmarks.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Analyzing Efficient Stream Processing on Modern Hardware.
Proc. VLDB Endow., 2019

AJoin: Ad-hoc Stream Joins at Scale.
Proc. VLDB Endow., 2019

AStream: Ad-hoc Shared Stream Processing.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Benchmarking Distributed Stream Processing Engines.
CoRR, 2018

PolyBench: The First Benchmark for Polystores.
Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

Benchmarking Distributed Stream Data Processing Systems.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

2016
EDL: A Framework for Entity Disambiguation and Linking to Knowledgebases.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

2015
Generic menu optimization for multi-profile customer systems.
Proceedings of the IEEE International Symposium on Systems Engineering, 2015

Clustering Quality Improvement of k-means Using a Hybrid Evolutionary Model.
Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

k-Means Performance Improvements with Centroid Calculation Heuristics Both for Serial and Parallel Environments.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015


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