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ORCIDKaustubh Beedkar
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- affiliation: Technische Universität Berlin, Berlin, Germany
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2020 – today
- 2025
[c12]Adeel Aslam, Kaustubh Beedkar, Giovanni Simonini:
SPO-Join: Efficient Stream Inequality Join. EDBT 2025: 145-157- 2024
- [c11]Abhilash Jindal
, Kaustubh Beedkar, Vishal Singh, J. Nausheen Mohammed, Tushar Singla, Aman Gupta, Keerti Choudhary:
Reactive Dataflow for Inflight Error Handling in ML Workflows. DEEM@SIGMOD 2024: 51-61 - 2023
- [j6]Haralampos Gavriilidis, Leonhard Rose, Joel Ziegler, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes. Proc. VLDB Endow. 16(12): 4078-4081 (2023) - [j5]Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz:
Apache Wayang: A Unified Data Analytics Framework. SIGMOD Rec. 52(3): 30-35 (2023) - [c10]Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl:
P2D: A Transpiler Framework for Optimizing Data Science Pipelines. DEEM@SIGMOD 2023: 3:1-3:4 - [c9]Haralampos Gavriilidis, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
In-Situ Cross-Database Query Processing. ICDE 2023: 2794-2807 - 2022
- [j4]Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Navigating Compliance with Data Transfers in Federated Data Processing. IEEE Data Eng. Bull. 45(1): 50-61 (2022) - 2021
- [j3]Kaustubh Beedkar, David Brekardin, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Data Processing in Action. Proc. VLDB Endow. 14(12): 2843-2846 (2021) - [c8]Felipe Oliveira Gutierrez, Kaustubh Beedkar, Abel Souza, Volker Markl:
AdCom: Adaptive Combiner for Streaming Aggregations. EDBT 2021: 409-414 - [c7]Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Query Processing. SIGMOD Conference 2021: 181-193
2010 – 2019
- 2019
- [j2]Kaustubh Beedkar, Rainer Gemulla, Wim Martens:
A Unified Framework for Frequent Sequence Mining with Subsequence Constraints. ACM Trans. Database Syst. 44(3): 11:1-11:42 (2019) - [c6]Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl:
Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. EDBT 2019: 590-593 - [c5]Kaustubh Beedkar, Rainer Gemulla, Alexander Renz-Wieland:
The DESQ Framework for Declarative and Scalable Frequent Sequence Mining. GI-Jahrestagung 2019: 249-250 - 2016
- [b1]Kaustubh Beedkar:
Methods for Frequent Sequence Mining with Subsequence Constraints. University of Mannheim, Germany, 2016 - [c4]Kaustubh Beedkar, Rainer Gemulla:
DESQ: Frequent Sequence Mining with Subsequence Constraints. ICDM 2016: 793-798 - [i1]Kaustubh Beedkar, Rainer Gemulla:
DESQ: Frequent Sequence Mining with Subsequence Constraints. CoRR abs/1609.08431 (2016) - 2015
- [j1]Kaustubh Beedkar, Klaus Berberich, Rainer Gemulla, Iris Miliaraki:
Closing the Gap: Sequence Mining at Scale. ACM Trans. Database Syst. 40(2): 8:1-8:44 (2015) - [c3]Kaustubh Beedkar, Rainer Gemulla:
LASH: Large-Scale Sequence Mining with Hierarchies. SIGMOD Conference 2015: 491-503 - 2013
- [c2]Kaustubh Beedkar, Luciano Del Corro, Rainer Gemulla:
Fully Parallel Inference in Markov Logic Networks. BTW 2013: 205-224
2000 – 2009
- 2008
- [c1]Arjun Jain, Adithi Sampath, Kaustubh Beedkar:
A Novel Dynamic Rate Based System for Matching and Retrieval in Images and Video Sequences. CSSE (4) 2008: 556-560
Coauthor Index
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