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ORCIDKaustubh Beedkar
Person information
- affiliation: Indian Institute of Technology Delhi, New Delhi India
- affiliation (former): Technische Universität Berlin, Berlin, Germany
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2020 – today
- 2025
[j10]Haralampos Gavriilidis
, Kaustubh Beedkar, Matthias Boehm, Volker Markl:
Fast and Scalable Data Transfer Across Data Systems. Proc. ACM Manag. Data 3(3): 157:1-157:28 (2025)- [j9]Omar Islam Laskar, Fatemeh Ramezani Khozestani, Ishika Nankani, Sohrab Namazi Nia, Senjuti Basu Roy, Kaustubh Beedkar:
Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems. Proc. ACM Manag. Data 3(6): 1-26 (2025) - [c16]Adeel Aslam, Kaustubh Beedkar, Giovanni Simonini:
SPO-Join: Efficient Stream Inequality Join. EDBT 2025: 145-157 - [c15]Ankit Chaudhary, Kaustubh Beedkar, Jeyhun Karimov, Felix Lang, Steffen Zeuch, Volker Markl:
Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures. ICDE 2025: 376-390 - [c14]Adnan Shakeel Ahmed, Abhilash Jindal, Kaustubh Beedkar:
Popper: A Dataflow System for In-Flight Error Handling in Machine Learning Workflows. ICDE 2025: 4596-4599 - [c13]Kaustubh Beedkar, Aurélien Bertrand, Haralampos Gavriilidis, Augusto José Fonseca, Zoi Kaoudi, Mingxi Liu, Volker Markl, Juri Petersen, Fábio Porto, Víctor Ribeiro, Mads Sejer Pedersen, Lucas Giusti Tavares, Michalis Vargiamis, Chen Xu:
Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework. SIGMOD Conference Companion 2025: 35-38 - [c12]Lennart Behme, Leonard Geißler, Pratham Agrawal, Emil Badura, Benjamin Ueber, Kaustubh Beedkar, Volker Markl:
Finding What You're Looking For: A Distribution-Aware Dataset Search Engine in Action. SIGMOD Conference Companion 2025: 39-42 - [i2]Omar Islam Laskar, Fatemeh Ramezani Khozestani, Ishika Nankani, Sohrab Namazi Nia, Senjuti Basu Roy, Kaustubh Beedkar:
Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems. CoRR abs/2510.10810 (2025) - 2024
- [j8]Rudi Poepsel Lemaitre, Kaustubh Beedkar, Volker Markl:
Disclosure-Compliant Query Answering. Proc. ACM Manag. Data 2(6): 233:1-233:28 (2024) - [j7]Lennart Behme, Sainyam Galhotra, Kaustubh Beedkar, Volker Markl:
Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. Proc. VLDB Endow. 17(11): 3269-3282 (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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