Kaustubh Beedkar

Orcid: 0009-0006-2322-4527

Affiliations:
  • Technische Universität Berlin, Berlin, Germany


According to our database1, Kaustubh Beedkar authored at least 17 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Apache Wayang: A Unified Data Analytics Framework.
SIGMOD Rec., September, 2023

XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes.
Proc. VLDB Endow., 2023

In-Situ Cross-Database Query Processing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

P2D: A Transpiler Framework for Optimizing Data Science Pipelines.
Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022
Navigating Compliance with Data Transfers in Federated Data Processing.
IEEE Data Eng. Bull., 2022

2021
Compliant Geo-distributed Data Processing in Action.
Proc. VLDB Endow., 2021

Compliant Geo-distributed Query Processing.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

AdCom: Adaptive Combiner for Streaming Aggregations.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2019
A Unified Framework for Frequent Sequence Mining with Subsequence Constraints.
ACM Trans. Database Syst., 2019

The DESQ Framework for Declarative and Scalable Frequent Sequence Mining.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

Resense: Transparent Record and Replay of Sensor Data in the Internet of Things.
Proceedings of the Advances in Database Technology, 2019

2016
Methods for Frequent Sequence Mining with Subsequence Constraints.
PhD thesis, 2016

DESQ: Frequent Sequence Mining with Subsequence Constraints.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Closing the Gap: Sequence Mining at Scale.
ACM Trans. Database Syst., 2015

LASH: Large-Scale Sequence Mining with Hierarchies.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2013
Fully Parallel Inference in Markov Logic Networks.
Proceedings of the Datenbanksysteme für Business, 2013

2008
A Novel Dynamic Rate Based System for Matching and Retrieval in Images and Video Sequences.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


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