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ORCIDLukasz Golab
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2023
[c90]Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS 2023: 810-818- [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] - [i21]Liam Hebert, Lukasz Golab, Robin Cohen:
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR abs/2301.04248 (2023) - [i20]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) - [i19]Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR abs/2302.04983 (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) - [c89]Mohammad Dehghan, Dhruv Kumar, Lukasz Golab:
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. ACL (Findings) 2022: 949-960 - [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 Conference on 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 - [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]