default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLukasz Golab
Person information
- affiliation: University of Waterloo, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j36]Pouyan Nahed
, Mina Esmail Zadeh Nojoo Kambar, Kazem Taghva, Lukasz Golab:
Tri-AL: An open source platform for visualization and analysis of clinical trials. Inf. Syst. 127: 102459 (2025)- 2024
- [j35]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering approximate implicit domain orders through order dependencies. VLDB J. 33(5): 1257-1282 (2024) - [c104]Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen:
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. AAAI 2024: 22096-22104 - [c103]Armin Esmaeilzadeh, Joel Rorseth, Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Kazem Taghva:
On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. GUIDE-AI@SIGMOD 2024: 50-53 - [c102]Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta:
Explaining Expert Search Systems with ExES. ICDE 2024: 5465-5468 - [c101]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. ICDE 2024: 5469-5472 - [c100]Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
CAMO: Explaining Consensus Across MOdels. ICDE 2024: 5493-5496 - [c99]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Towards Explainability in Retrieval-Augmented LLMs. ICDE 2024: 5669-5670 - [c98]Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Exploring the Space of Model Comparisons. ICDE 2024: 5673-5674 - [i24]Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta:
Explaining Expert Search and Team Formation Systems with ExES. CoRR abs/2405.12881 (2024) - [i23]Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. CoRR abs/2405.13000 (2024) - 2023
- [j34]Harsimrat Singh Bhundar, Lukasz Golab, Srinivasan Keshav:
Correction: Using EV charging control to provide building load flexibility. Energy Inform. 6(1) (2023) - [j33]Harsimrat Singh Bhundar, Lukasz Golab, Srinivasan Keshav:
Using EV charging control to provide building load flexibility. Energy Inform. 6(1) (2023) - [j32]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
POEM: Pattern-Oriented Explanations of Convolutional Neural Networks. Proc. VLDB Endow. 16(11): 3192-3200 (2023) - [c97]Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS 2023: 810-818 - [c96]Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
EAGER: Explainable Question Answering Using Knowledge Graphs. GRADES-NDA@SIGMOD 2023: 4:1-4:5 - [c95]Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. ICDE 2023: 1208-1220 - [c94]Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
iORDER: Mining Implicit Domain Orders. ICDE 2023: 3623-3626 - [c93]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. ICDE 2023: 3631-3634 - [c92]Armin Esmaeilzadeh, Lukasz Golab, Kazem Taghva:
InfoMoD: Information-theoretic Model Diagnostics. SSDBM 2023: 19:1-19:4 - [c91]Shadi Ghasemitaheri, Amelia Holcomb, Lukasz Golab, Srinivasan Keshav:
On the Data Quality of Remotely Sensed Forest Maps. VLDB Workshops 2023 - [e2]Enrico Gallinucci, Lukasz Golab:
Proceedings of the 25th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 26th International Conference on Extending Database Technology and the 26th International Conference on Database Theory (EDBT/ICDT 2023), Ioannina, Greece, March 28, 2023. CEUR Workshop Proceedings 3369, CEUR-WS.org 2023 [contents] - [i22]Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR abs/2301.04248 (2023) - [i21]Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab:
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content. CoRR abs/2301.10871 (2023) - [i20]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR abs/2302.04983 (2023) - [i19]Liam Hebert, Gaurav Sahu, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen:
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. CoRR abs/2307.09312 (2023) - 2022
- [j31]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
Exploring data using patterns: A survey. Inf. Syst. 108: 101985 (2022) - [j30]Alexander Artikis, Nesime Tatbul, Lukasz Golab, Mohammad Sadoghi:
Editorial. Inf. Syst. 109: 102088 (2022) - [j29]Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran:
Contextual Data Cleaning with Ontology Functional Dependencies. ACM J. Data Inf. Qual. 14(3): 20:1-20:26 (2022) - [j28]Vargha Dadvar, Lukasz Golab, Divesh Srivastava:
POEM: Pattern-Oriented Explanations of CNN Models. Proc. VLDB Endow. 15(12): 3618-3621 (2022) - [j27]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search Over Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 601-616 (2022) - [c90]Mohammad Dehghan, Dhruv Kumar, Lukasz Golab:
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. ACL (Findings) 2022: 949-960 - [c89]Mohammad S. Parsa, Haoqi Shi, Yihao Xu, Aaron Yim, Yaolun Yin, Lukasz Golab:
Analyzing Climate Change Discussions on Reddit. CSCI 2022: 826-832 - [c88]Shivangi Chopra, Lukasz Golab:
Gender Differences in Early Career Performance Reviews: a Text Mining Study. EDBT/ICDT Workshops 2022 - [c87]Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Fine-Tuning Dependencies with Parameters. EDBT 2022: 2:393-2:397 - [c86]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders via Order Dependencies. ICDE 2022: 1098-1110 - [c85]Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. WI/IAT 2022: 9-17 - [e1]Kostas Stefanidis, Lukasz Golab:
Proceedings of the 24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 25th International Conference on Extending Database Technology and the 25th International Conference on Database Theory (EDBT/ICDT 2022), Edinburgh, UK, March 29, 2022. CEUR Workshop Proceedings 3130, CEUR-WS.org 2022 [contents] - [i18]Mohammad Dehghan, Dhruv Kumar, Lukasz Golab:
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. CoRR abs/2203.09742 (2022) - [i17]Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. CoRR abs/2205.13697 (2022) - 2021
- [c84]John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat:
RW-Team: Robust Team Formation using Random Walk. CIKM 2021: 4759-4763 - [c83]Lukasz Golab, Divesh Srivastava:
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP 2021: 116-120 - [c82]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. EDBT 2021: 427-432 - [c81]Shivangi Chopra, Lukasz Golab:
Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements. EDM 2021 - [c80]Mohammad S. Parsa, Lukasz Golab:
Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study. EDM 2021 - [c79]Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
TimeFabric: Trusted Time for Permissioned Blockchains. FAB 2021: 4:1-4:15 - [c78]Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search in Weighted Graphs (Extended Abstract). ICDE 2021: 2350-2351 - [i16]Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. CoRR abs/2101.02174 (2021) - [i15]Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. CoRR abs/2101.06801 (2021) - [i14]Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Discovery and Contextual Data Cleaning with Ontology Functional Dependencies. CoRR abs/2105.08105 (2021) - [i13]Mohammad S. Parsa, Lukasz Golab, Srinivasan Keshav:
Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study. CoRR abs/2105.12190 (2021) - 2020
- [j26]Liuyan Chen, Lukasz Golab:
Micro-journal mining to understand mood triggers. Computing 102(5): 1227-1244 (2020) - [j25]Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav:
FastFabric: Scaling hyperledger fabric to 20 000 transactions per second. Int. J. Netw. Manag. 30(5) (2020) - [j24]Abeer Khan, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, Morteza Zihayat:
Compact group discovery in attributed graphs and social networks. Inf. Process. Manag. 57(2): 102054 (2020) - [j23]Spencer Bryson, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat:
Robust keyword search in large attributed graphs. Inf. Retr. J. 23(5): 502-524 (2020) - [c77]Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova:
Iterative Edit-Based Unsupervised Sentence Simplification. ACL 2020: 7918-7928 - [c76]Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang:
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. Canadian AI 2020: 15-28 - [c75]Allison Jacobs, Shivangi Chopra, Lukasz Golab:
Reddit Mining to Understand Women's Issues in STEM. EDBT/ICDT Workshops 2020 - [c74]Abeer Khan, Lukasz Golab:
Reddit Mining to Understand Gendered Movements. EDBT/ICDT Workshops 2020 - [c73]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). EDBT 2020: 659-663 - [c72]Mohammad S. Parsa, Lukasz Golab:
Social Media Mining to Understand the Impact of Co-operative Education on Mental Health. EDM 2020 - [c71]Xiao Meng, Lukasz Golab:
Parallel Scheduling of Data-Intensive Tasks. Euro-Par 2020: 117-133 - [c70]Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav:
Consentio: Managing Consent to Data Access using Permissioned Blockchains. IEEE ICBC 2020: 1-9 - [c69]Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
XOX Fabric: A hybrid approach to blockchain transaction execution. IEEE ICBC 2020: 1-9 - [c68]Syed Saad Naseem, Dhruv Kumar, Mohammad S. Parsa, Lukasz Golab:
Text Mining of COVID-19 Discussions on Reddit. WI/IAT 2020: 687-691 - [i12]Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders through Order Dependencies. CoRR abs/2005.14068 (2020) - [i11]Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova:
Iterative Edit-Based Unsupervised Sentence Simplification. CoRR abs/2006.09639 (2020)
2010 – 2019
- 2019
- [j22]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Implementations of Dependency Discovery Algorithms. Proc. VLDB Endow. 12(11): 1624-1636 (2019) - [c67]Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Bring Order to Data. AMW 2019 - [c66]Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab:
Gender Differences in Science and Engineering: A Data Mining Approach. EDBT/ICDT Workshops 2019 - [c65]Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab:
Gender Differences in Work-Integrated Learning Assessments. EDM 2019 - [c64]Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
Mitigating Trust Issues in Electric Vehicle Charging using a Blockchain. e-Energy 2019: 160-164 - [c63]Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav:
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. IEEE ICBC 2019: 455-463 - [c62]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Discovery of Functional Dependencies. ICDE 2019: 1590-1593 - [c61]Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava:
Informative Summarization of Numeric Data. SSDBM 2019: 97-108 - [c60]Dhruv Kumar, Robin Cohen, Lukasz Golab:
Online abuse detection: the value of preprocessing and neural attention models. WASSA@NAACL-HLT 2019: 16-24 - [r5]Lukasz Golab:
Types of Stream Processing Algorithms. Encyclopedia of Big Data Technologies 2019 - [i10]Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav:
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. CoRR abs/1901.00910 (2019) - [i9]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Dependency Discovery. CoRR abs/1903.05228 (2019) - [i8]Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Errata Note: Discovering Order Dependencies through Order Compatibility. CoRR abs/1905.02010 (2019) - [i7]Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
XOX Fabric: A hybrid approach to transaction execution. CoRR abs/1906.11229 (2019) - [i6]Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav:
Consentio: Managing Consent to Data Access using Permissioned Blockchains. CoRR abs/1910.07110 (2019) - 2018
- [b3]Ziawasch Abedjan, Lukasz Golab, Felix Naumann, Thorsten Papenbrock:
Data Profiling. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00737-8 - [j21]Kareem El Gebaly, Guoyao Feng, Lukasz Golab, Flip Korn, Divesh Srivastava:
Explanation Tables. IEEE Data Eng. Bull. 41(3): 43-51 (2018) - [j20]Guoming Tang, Srinivasan Keshav, Lukasz Golab, Kui Wu:
Bikeshare Pool Sizing for Bike-and-Ride Multimodal Transit. IEEE Trans. Intell. Transp. Syst. 19(7): 2279-2289 (2018) - [j19]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and complete discovery of bidirectional order dependencies via set-based axioms. VLDB J. 27(4): 573-591 (2018) - [c59]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Effective Team Formation in Expert Networks. AMW 2018 - [c58]Shivangi Chopra, Yuheng Helen Jiang, Andrew Toulis, Lukasz Golab:
Data Analytics to Improve Co-Operative Education. EDBT/ICDT Workshops 2018: 16-21 - [c57]Zheng Zheng, Morteza Alipour, Zhi Qu, Ian Currie, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies. EDBT 2018: 694-697 - [c56]Shivangi Chopra, Lukasz Golab:
Job Description Mining to Understand Work-Integrated Learning. EDM 2018 - [c55]Shivangi Chopra, Hannah Gautreau, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab:
Gender Differences in Undergraduate Engineering Applicants: A Text Mining Approach. EDM 2018 - [c54]Morteza Alipour Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Contextual Data Cleaning. ICDE Workshops 2018: 21-24 - [c53]Alexandar Mihaylov, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
FASTOD: Bringing Order to Data. ICDE 2018: 1561-1564 - [c52]Libo Gao, Lukasz Golab, M. Tamer Özsu, Günes Aluç:
Stream WatDiv: A Streaming RDF Benchmark. SBD@SIGMOD 2018: 3:1-3:6 - [r4]Lukasz Golab:
Data Stream. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Lukasz Golab:
Stream Models. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j18]Yuke Yang, Lukasz Golab, M. Tamer Özsu:
ViewDF: Declarative incremental view maintenance for streaming data. Inf. Syst. 71: 55-67 (2017) - [j17]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. Proc. VLDB Endow. 10(7): 721-732 (2017) - [j16]Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas, Shichao Jin:
Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking. ACM Trans. Database Syst. 42(1): 2:1-2:39 (2017) - [c51]Xiao Meng, Lukasz Golab:
Optimal reducer placement to minimize data transfer in MapReduce-style processing. IEEE BigData 2017: 339-346 - [c50]Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Efficient Discovery of Ontology Functional Dependencies. CIKM 2017: 1847-1856 - [c49]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. EDBT 2017: 498-501 - [c48]Simon Dominik Fink, Lukasz Golab, Srinivasan Keshav, Hermann de Meer:
How Similar is the Usage of Electric Cars and Electric Bicycles? e-Energy 2017: 334-340 - [c47]Guoyao Feng, Lukasz Golab, Divesh Srivastava:
Scalable Informative Rule Mining. ICDE 2017: 437-448 - [c46]Andrew Toulis, Lukasz Golab:
Graph Mining to Characterize Competition for Employment. NDA@SIGMOD 2017: 3:1-3:7 - [c45]Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Data Profiling: A Tutorial. SIGMOD Conference 2017: 1747-1751 - [c44]Christian Gorenflo, Lukasz Golab, Srinivasan Keshav:
Managing Sensor Data Streams: Lessons Learned from the WeBike Project. SSDBM 2017: 1:1-1:11 - [c43]Andrew Toulis, Lukasz Golab:
Social Media Mining to Understand Public Mental Health. DMAH@VLDB 2017: 55-70 - 2016
- [j15]Arian Bär, Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Lukasz Golab, Marco Mellia, Erich Schikuta:
DBStream: A holistic approach to large-scale network traffic monitoring and analysis. Comput. Networks 107: 5-19 (2016) - [j14]Yuheng Helen Jiang, Sohail Javaad Syed, Lukasz Golab:
Data Mining of Undergraduate Course Evaluations. Informatics Educ. 15(1): 85-102 (2016) - [c42]Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta:
eGraphSearch: Effective Keyword Search in Graphs. CIKM 2016: 2461-2464 - [c41]Yuheng Helen Jiang, Lukasz Golab:
On Competition for Undergraduate Co-op Placements: A Graph Mining Approach. EDM 2016: 394-399 - [c40]Lukas Gebhard, Lukasz Golab, Srinivasan Keshav, Hermann de Meer:
Range prediction for electric bicycles. e-Energy 2016: 21:1-21:11 - [c39]Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Data profiling. ICDE 2016: 1432-1435 - [i5]Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava:
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. CoRR abs/1608.06169 (2016) - [i4]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. CoRR abs/1611.02992 (2016) - 2015
- [j13]Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Profiling relational data: a survey. VLDB J. 24(4): 557-581 (2015) - [c38]Jaroslaw Szlichta, Lukasz Golab, Divesh Srivastava:
On Axiomatization and Inference Complexity over a Hierarchy of Functional Dependencies. AMW 2015 - [c37]Peter Xiang Gao, Lukasz Golab, Srinivasan Keshav:
What's Wrong with my Solar Panels: a Data-Driven Approach. EDBT/ICDT Workshops 2015: 86-93 - [c36]Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas:
Benchmarking Smart Meter Data Analytics. EDBT 2015: 385-396 - [c35]Arian Bär, Lukasz Golab, Stefan Ruehrup, Mirko Schiavone, Pedro Casas:
Cache-oblivious scheduling of shared workloads. ICDE 2015: 855-866 - [c34]Lukasz Golab, Flip Korn, Feng Li, Barna Saha, Divesh Srivastava:
Size-Constrained Weighted Set Cover. ICDE 2015: 879-890 - [c33]Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas:
SMAS: A smart meter data analytics system. ICDE 2015: 1476-1479 - [c32]Chang Ge, Martin Kaufmann, Lukasz Golab, Peter M. Fischer, Anil K. Goel:
Indexing bi-temporal windows. SSDBM 2015: 19:1-19:12 - [i3]Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta:
Effective Keyword Search in Graphs. CoRR abs/1512.06395 (2015) - 2014
- [j12]Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, Divesh Srivastava:
Interpretable and Informative Explanations of Outcomes. Proc. VLDB Endow. 8(1): 61-72 (2014) - [j11]Lukasz Golab, Howard J. Karloff, Flip Korn, Barna Saha, Divesh Srivastava:
Discovering Conservation Rules. IEEE Trans. Knowl. Data Eng. 26(6): 1332-1348 (2014) - [j10]George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin:
Sampling from repairs of conditional functional dependency violations. VLDB J. 23(1): 103-128 (2014) - [c31]Arian Bär, Alessandro Finamore, Pedro Casas, Lukasz Golab, Marco Mellia:
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis. IEEE BigData 2014: 165-170 - [c30]Omid Ardakanian, Negar Koochakzadeh, Rayman Preet Singh, Lukasz Golab, Srinivasan Keshav:
Computing Electricity Consumption Profiles from Household Smart Meter Data. EDBT/ICDT Workshops 2014: 140-147 - [c29]Sohail Javaad Syed, Yuheng Helen Jiang, Lukasz Golab:
Data mining of undergraduate course evaluations. EDM 2014: 347-348 - [c28]Yuheng Helen Jiang, Ryan Levman, Lukasz Golab, Jatin Nathwani:
Predicting peak-demand days in the ontario peak reduction program for large consumers. e-Energy 2014: 221-222 - [c27]Tommy Carpenter, Lukasz Golab, Sohail Javaad Syed:
Is the grass greener?: mining electric vehicle opinions. e-Energy 2014: 241-252 - [c26]Lukasz Golab, Theodore Johnson:
Data stream warehousing. ICDE 2014: 1290-1293 - [c25]Arian Bär, Pedro Casas, Lukasz Golab, Alessandro Finamore:
DBStream: An online aggregation, filtering and processing system for network traffic monitoring. IWCMC 2014: 611-616 - [c24]Lukasz Golab, Marios Hadjieleftheriou, Howard J. Karloff, Barna Saha:
Distributed data placement to minimize communication costs via graph partitioning. SSDBM 2014: 20:1-20:12 - 2013
- [c23]Chang Ge, Lukasz Golab:
Lazy data structure maintenance for main-memory analytics over sliding windows. DOLAP 2013: 33-38 - [c22]Melissa Deziel, Dayo Olawo, Lisa Truchon, Lukasz Golab:
Analyzing the Mental Health of Engineering Students using Classification and Regression. EDM 2013: 228-231 - [c21]George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin:
On the relative trust between inconsistent data and inaccurate constraints. ICDE 2013: 541-552 - [c20]Lukasz Golab, Theodore Johnson:
Data stream warehousing. SIGMOD Conference 2013: 949-952 - [p1]Lukasz Golab:
Data Warehouse Quality: Summary and Outlook. Handbook of Data Quality 2013: 121-140 - [i2]Lukasz Golab, Marios Hadjieleftheriou, Howard J. Karloff, Barna Saha:
Distributed Data Placement via Graph Partitioning. CoRR abs/1312.0285 (2013) - 2012
- [j9]Lukasz Golab, Theodore Johnson, Vladislav Shkapenyuk:
Scalable Scheduling of Updates in Streaming Data Warehouses. IEEE Trans. Knowl. Data Eng. 24(6): 1092-1105 (2012) - [c19]Arian Bär, Lukasz Golab:
Towards benchmarking stream data warehouses. DOLAP 2012: 105-112 - [c18]Lukasz Golab, Howard J. Karloff, Flip Korn, Barna Saha, Divesh Srivastava:
Discovering Conservation Rules. ICDE 2012: 738-749 - [c17]Lukasz Golab, Theodore Johnson, Subhabrata Sen, Jennifer Yates:
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications. PAM 2012: 53-63 - [i1]George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin:
On the Relative Trust between Inconsistent Data and Inaccurate Constraints. CoRR abs/1207.5226 (2012) - 2011
- [j8]Lukasz Golab, Flip Korn, Divesh Srivastava:
Efficient and Effective Analysis of Data Quality using Pattern Tableaux. IEEE Data Eng. Bull. 34(3): 26-33 (2011) - [j7]MohammadHossein Bateni, Lukasz Golab, MohammadTaghi Hajiaghayi, Howard J. Karloff:
Scheduling to Minimize Staleness and Stretch in Real-Time Data Warehouses. Theory Comput. Syst. 49(4): 757-780 (2011) - [c16]Lukasz Golab, Theodore Johnson:
Consistency in a Stream Warehouse. CIDR 2011: 114-122 - 2010
- [b2]Lukasz Golab, M. Tamer Özsu:
Data Stream Management. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00709-5 - [j6]Divesh Srivastava, Lukasz Golab, Rick Greer, Theodore Johnson, Joseph Seidel, Vladislav Shkapenyuk, Oliver Spatscheck, Jennifer Yates:
Enabling Real Time Data Analysis. Proc. VLDB Endow. 3(1): 1-2 (2010) - [j5]George Beskales, Ihab F. Ilyas, Lukasz Golab:
Sampling the Repairs of Functional Dependency Violations under Hard Constraints. Proc. VLDB Endow. 3(1): 197-207 (2010) - [j4]Lukasz Golab, Howard J. Karloff, Flip Korn, Divesh Srivastava:
Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux. Proc. VLDB Endow. 3(2): 1641-1644 (2010)
2000 – 2009
- 2009
- [j3]Lukasz Golab, Howard J. Karloff, Flip Korn, Avishek Saha, Divesh Srivastava:
Sequential Dependencies. Proc. VLDB Endow. 2(1): 574-585 (2009) - [c15]Lukasz Golab, Theodore Johnson, Vladislav Shkapenyuk:
Scheduling Updates in a Real-Time Stream Warehouse. ICDE 2009: 1207-1210 - [c14]Graham Cormode, Lukasz Golab, Flip Korn, Andrew McGregor, Divesh Srivastava, Xi Zhang:
Estimating the confidence of conditional functional dependencies. SIGMOD Conference 2009: 469-482 - [c13]Lukasz Golab, Theodore Johnson, J. Spencer Seidel, Vladislav Shkapenyuk:
Stream warehousing with DataDepot. SIGMOD Conference 2009: 847-854 - [c12]MohammadHossein Bateni, Lukasz Golab, Mohammad Taghi Hajiaghayi, Howard J. Karloff:
Scheduling to minimize staleness and stretch in real-time data warehouses. SPAA 2009: 29-38 - [r2]Lukasz Golab:
Data Stream. Encyclopedia of Database Systems 2009: 638 - [r1]Lukasz Golab:
Stream Models. Encyclopedia of Database Systems 2009: 2834-2836 - 2008
- [j2]Lukasz Golab, Howard J. Karloff, Flip Korn, Divesh Srivastava, Bei Yu:
On generating near-optimal tableaux for conditional functional dependencies. Proc. VLDB Endow. 1(1): 376-390 (2008) - [c11]Lukasz Golab, Theodore Johnson, Oliver Spatscheck:
Prefilter: predicate pushdown at streaming speeds. SSPS 2008: 29-37 - [c10]Lukasz Golab, Theodore Johnson, Nick Koudas, Divesh Srivastava, David Toman:
Optimizing away joins on data streams. SSPS 2008: 48-57 - 2006
- [b1]Lukasz Golab:
Sliding Window Query Processing over Data Streams. University of Waterloo, Ontario, Canada, 2006 - [c9]Lukasz Golab, Kumar Gaurav Bijay, M. Tamer Özsu:
Multi-query optimization of sliding window aggregates by schedule synchronization. CIKM 2006: 844-845 - [c8]Lukasz Golab, Kumar Gaurav Bijay, M. Tamer Özsu:
On Concurrency Control in Sliding Window Queries over Data Streams. EDBT 2006: 608-626 - [c7]Lukasz Golab, Piyush Prahladka, M. Tamer Özsu:
Indexing Time-Evolving Data With Variable Lifetimes. SSDBM 2006: 265-274 - 2005
- [c6]Lukasz Golab, M. Tamer Özsu:
Update-Pattern-Aware Modeling and Processing of Continuous Queries. SIGMOD Conference 2005: 658-669 - 2004
- [c5]Lukasz Golab, Shaveen Garg, M. Tamer Özsu:
On Indexing Sliding Windows over Online Data Streams. EDBT 2004: 712-729 - [c4]Lukasz Golab:
Querying Sliding Windows Over Online Data Streams. EDBT Workshops 2004: 1-11 - [c3]Lukasz Golab, David DeHaan, Alejandro López-Ortiz, Erik D. Demaine:
Finding Frequent Items in Sliding Windows with Multinomially-Distributed Item Frequencies. SSDBM 2004: 425-426 - 2003
- [j1]Lukasz Golab, M. Tamer Özsu:
Issues in data stream management. SIGMOD Rec. 32(2): 5-14 (2003) - [c2]Lukasz Golab, David DeHaan, Erik D. Demaine, Alejandro López-Ortiz, J. Ian Munro:
Identifying frequent items in sliding windows over on-line packet streams. Internet Measurement Conference 2003: 173-178 - [c1]Lukasz Golab, M. Tamer Özsu:
Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams. VLDB 2003: 500-511
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
