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ORCIDIhab F. Ilyas
Ihab Francis Ilyas
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- affiliation: Apple Inc., USA
- affiliation: University of Waterloo, Canada
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2020 – today
- 2024
[c79]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 2024: 3782-3803- [i31]Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li:
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models. CoRR abs/2408.05948 (2024) - 2023
- [j46]Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas:
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. IEEE Data Eng. Bull. 46(2): 126-139 (2023) - [j45]Jason Mohoney
, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. Proc. ACM Manag. Data 1(2): 197:1-197:25 (2023) - [c78]Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li:
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. EMNLP (Demos) 2023: 124-130 - [c77]Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab F. Ilyas, Yunyao Li:
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs. EMNLP 2023: 1612-1634 - [c76]Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. ICDE 2023: 1208-1220 - [c75]Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth:
Growing and Serving Large Open-domain Knowledge Graphs. SIGMOD Conference Companion 2023: 253-259 - [c74]Lisa Ehrlinger, Hazar Harmouch, Ihab F. Ilyas, Felix Naumann:
Preface QDB. VLDB Workshops 2023 - [e1]Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i30]Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. CoRR abs/2304.01926 (2023) - [i29]Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth:
Growing and Serving Large Open-domain Knowledge Graphs. CoRR abs/2305.09464 (2023) - [i28]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR abs/2309.11669 (2023) - [i27]Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li:
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. CoRR abs/2310.17119 (2023) - [i26]Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab F. Ilyas, Yunyao Li:
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs. CoRR abs/2311.15781 (2023) - [i25]Kun Qian, Anton Belyi, Fei Wu, Samira Khorshidi, Azadeh Nikfarjam, Rahul Khot, Yisi Sang, Katherine Luna, Xianqi Chu, Eric Choi, Yash Govind, Chloe Seivwright, Yiwen Sun, Ahmed Fakhry, Theodoros Rekatsinas, Ihab F. Ilyas, Xiaoguang Qi, Yunyao Li:
Open Domain Knowledge Extraction for Knowledge Graphs. CoRR abs/2312.09424 (2023) - 2022
- [j44]Ihab F. Ilyas, Felix Naumann:
Data Errors: Symptoms, Causes and Origins. IEEE Data Eng. Bull. 45(1): 4-9 (2022) - [j43]Ihab F. Ilyas, Theodoros Rekatsinas:
Machine Learning and Data Cleaning: Which Serves the Other? ACM J. Data Inf. Qual. 14(3): 13:1-13:11 (2022) - [c73]Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed A. Soliman:
Saga: A Platform for Continuous Construction and Serving of Knowledge at Scale. SIGMOD Conference 2022: 2259-2272 - [i24]Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed A. Soliman:
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale. CoRR abs/2204.07309 (2022) - 2021
- [j42]Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas:
Kamino: Constraint-Aware Differentially Private Data Synthesis. Proc. VLDB Endow. 14(10): 1886-1899 (2021) - [j41]Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas:
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. Proc. VLDB Endow. 15(3): 699-712 (2021) - [c72]Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy:
Properties of Inconsistency Measures for Databases. SIGMOD Conference 2021: 1182-1194 - [c71]Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas:
PCOR: Private Contextual Outlier Release via Differentially Private Search. SIGMOD Conference 2021: 1571-1583 - [i23]Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. CoRR abs/2101.06801 (2021) - [i22]Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas:
PCOR: Private Contextual Outlier Release via Differentially Private Search. CoRR abs/2103.05173 (2021) - [i21]Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas:
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. CoRR abs/2106.01501 (2021) - 2020
- [j40]Ester Livshits, Alireza Heidari, Ihab F. Ilyas, Benny Kimelfeld:
Approximate Denial Constraints. Proc. VLDB Endow. 13(10): 1682-1695 (2020) - [c70]Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas:
Attention-based Learning for Missing Data Imputation in HoloClean. MLSys 2020 - [i20]Ester Livshits, Alireza Heidari, Ihab F. Ilyas, Benny Kimelfeld:
Approximate Denial Constraints. CoRR abs/2005.08540 (2020) - [i19]Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas:
Record fusion: A learning approach. CoRR abs/2006.10208 (2020) - [i18]Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas:
On sampling from data with duplicate records. CoRR abs/2008.10549 (2020) - [i17]Paulo H. Oliveira, Daniel S. Kaster, Caetano Traina Jr., Ihab F. Ilyas:
Batchwise Probabilistic Incremental Data Cleaning. CoRR abs/2011.04730 (2020) - [i16]Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas:
Kamino: Constraint-Aware Differentially Private Data Synthesis. CoRR abs/2012.15713 (2020)
2010 – 2019
- 2019
- [b3]Ihab F. Ilyas, Xu Chu:
Data Cleaning. ACM Books 28, ACM 2019, ISBN 978-1-4503-7152-0, pp. 1-285 - [j39]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Implementations of Dependency Discovery Algorithms. Proc. VLDB Endow. 12(11): 1624-1636 (2019) - [j38]Chang Ge, Ihab F. Ilyas, Florian Kerschbaum:
Secure Multi-Party Functional Dependency Discovery. Proc. VLDB Endow. 13(2): 184-196 (2019) - [c69]Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas:
Semi-supervised clustering for de-duplication. AISTATS 2019: 1659-1667 - [c68]Ihab F. Ilyas:
Building Scalable Machine Learning Solutions for Data Cleaning. BTW 2019: 27-28 - [c67]Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici, Ihab F. Ilyas:
ExplIQuE: Interactive Databases Exploration with SQL. CIKM 2019: 2877-2880 - [c66]Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Unsupervised String Transformation Learning for Entity Consolidation. ICDE 2019: 196-207 - [c65]Shrinu Kushagra, Hemant Saxena, Ihab F. Ilyas, Shai Ben-David:
A Semi-Supervised Framework of Clustering Selection for De-Duplication. ICDE 2019: 208-219 - [c64]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Discovery of Functional Dependencies. ICDE 2019: 1590-1593 - [c63]Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas:
A Formal Framework for Probabilistic Unclean Databases. ICDT 2019: 6:1-6:18 - [c62]Chang Ge, Xi He, Ihab F. Ilyas, Ashwin Machanavajjhala:
APEx: Accuracy-Aware Differentially Private Data Exploration. SIGMOD Conference 2019: 177-194 - [c61]Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas:
HoloDetect: Few-Shot Learning for Error Detection. SIGMOD Conference 2019: 829-846 - [c60]Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas:
Approximate Inference in Structured Instances with Noisy Categorical Observations. UAI 2019: 412-421 - [p1]Ihab F. Ilyas:
Data unification at scale: data tamer. Making Databases Work 2019: 269-277 - [i15]Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Dependency Discovery. CoRR abs/1903.05228 (2019) - [i14]Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas:
Matching Entities Across Different Knowledge Graphs with Graph Embeddings. CoRR abs/1903.06607 (2019) - [i13]Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas:
HoloDetect: Few-Shot Learning for Error Detection. CoRR abs/1904.02285 (2019) - [i12]Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy:
Principles of Progress Indicators for Database Repairing. CoRR abs/1904.06492 (2019) - [i11]Ji Sun, Dong Deng, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation. CoRR abs/1906.06574 (2019) - [i10]Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas:
Approximate Inference in Structured Instances with Noisy Categorical Observations. CoRR abs/1907.00141 (2019) - 2018
- [j37]Michael Stonebraker, Ihab F. Ilyas:
Data Integration: The Current Status and the Way Forward. IEEE Data Eng. Bull. 41(2): 3-9 (2018) - [c59]Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas:
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia. COLING 2018: 2093-2103 - [c58]Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. ICDE 2018: 989-1000 - [c57]Essam Mansour, Dong Deng, Raul Castro Fernandez, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Building Data Civilizer Pipelines with an Advanced Workflow Engine. ICDE 2018: 1593-1596 - [r3]Ihab F. Ilyas:
Rank-Aware Query Processing. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Ihab F. Ilyas:
Rank-Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Ihab F. Ilyas:
Top-k Queries. Encyclopedia of Database Systems (2nd ed.) 2018 - [i9]Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas:
A Formal Framework For Probabilistic Unclean Databases. CoRR abs/1801.06750 (2018) - [i8]Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas:
Semi-supervised clustering for de-duplication. CoRR abs/1810.04361 (2018) - 2017
- [j36]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10(11): 1190-1201 (2017) - [j35]Shazia Wasim Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava:
Data Quality: The Role of Empiricism. SIGMOD Rec. 46(4): 35-43 (2017) - [j34]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) - [c56]Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang:
The Data Civilizer System. CIDR 2017 - [c55]Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
A Demo of the Data Civilizer System. SIGMOD Conference 2017: 1639-1642 - [i7]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR abs/1702.00820 (2017) - [i6]Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Entity Consolidation: The Golden Record Problem. CoRR abs/1709.10436 (2017) - [i5]Chang Ge, Ihab F. Ilyas, Xi He, Ashwin Machanavajjhala:
Private Exploration Primitives for Data Cleaning. CoRR abs/1712.10266 (2017) - 2016
- [j33]Ihab F. Ilyas:
Effective Data Cleaning with Continuous Evaluation. IEEE Data Eng. Bull. 39(2): 38-46 (2016) - [j32]Christian Bizer, Luna Dong, Ihab F. Ilyas, Maria-Esther Vidal:
Editorial: Special Issue on Web Data Quality. ACM J. Data Inf. Qual. 8(1): 1:1-1:3 (2016) - [j31]Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani:
Learning to identify relevant studies for systematic reviews using random forest and external information. Mach. Learn. 102(3): 465-482 (2016) - [j30]Xu Chu, Ihab F. Ilyas, Paraschos Koutris:
Distributed Data Deduplication. Proc. VLDB Endow. 9(11): 864-875 (2016) - [j29]Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang:
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9(12): 993-1004 (2016) - [j28]Xu Chu, Ihab F. Ilyas:
Qualitative Data Cleaning. Proc. VLDB Endow. 9(13): 1605-1608 (2016) - [c54]Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: A robust transformation discovery system. ICDE 2016: 1134-1145 - [c53]Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré:
Dark Data: Are we solving the right problems? ICDE 2016: 1444-1445 - [c52]Mina H. Farid, Ihab F. Ilyas, Steven Euijong Whang, Cong Yu:
LONLIES: Estimating Property Values for Long Tail Entities. SIGIR 2016: 1125-1128 - [c51]Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu:
CLAMS: Bringing Quality to Data Lakes. SIGMOD Conference 2016: 2089-2092 - [c50]Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang:
Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference 2016: 2201-2206 - 2015
- [j27]Ihab F. Ilyas, Xu Chu:
Trends in Cleaning Relational Data: Consistency and Deduplication. Found. Trends Databases 5(4): 281-393 (2015) - [j26]Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8(12): 1952-1955 (2015) - [c49]Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani:
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR 2015 - [c48]Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas:
Benchmarking Smart Meter Data Analytics. EDBT 2015: 385-396 - [c47]Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas:
SMAS: A smart meter data analytics system. ICDE 2015: 1476-1479 - [c46]John Morcos, Ziawasch Abedjan, Ihab Francis Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: An Interactive Data Transformation Tool. SIGMOD Conference 2015: 883-888 - [c45]Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin:
BigDansing: A System for Big Data Cleansing. SIGMOD Conference 2015: 1215-1230 - [c44]Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. SIGMOD Conference 2015: 1247-1261 - 2014
- [j25]Michele Dallachiesa, Themis Palpanas, Ihab F. Ilyas:
Top-k Nearest Neighbor Search In Uncertain Data Series. Proc. VLDB Endow. 8(1): 13-24 (2014) - [j24]George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin:
Sampling from repairs of conditional functional dependency violations. VLDB J. 23(1): 103-128 (2014) - [c43]Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye:
RuleMiner: Data quality rules discovery. ICDE 2014: 1222-1225 - [c42]Anup Chalamalla, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti:
Descriptive and prescriptive data cleaning. SIGMOD Conference 2014: 445-456 - [c41]Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin:
NADEEF/ER: generic and interactive entity resolution. SIGMOD Conference 2014: 1071-1074 - 2013
- [j23]Amr Ebaid, Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin:
NADEEF: A Generalized Data Cleaning System. Proc. VLDB Endow. 6(12): 1218-1221 (2013) - [j22]Xu Chu, Ihab F. Ilyas, Paolo Papotti:
Discovering Denial Constraints. Proc. VLDB Endow. 6(13): 1498-1509 (2013) - [j21]Lei Chen, Ihab F. Ilyas, Christopher Ré, Xiaofang Zhou:
Probabilistic Web Data Management. World Wide Web 16(3): 271-272 (2013) - [c40]Michael Stonebraker, Daniel Bruckner, Ihab F. Ilyas, George Beskales, Mitch Cherniack, Stanley B. Zdonik, Alexander Pagan, Shan Xu:
Data Curation at Scale: The Data Tamer System. CIDR 2013 - [c39]Xu Chu, Ihab F. Ilyas, Paolo Papotti:
Holistic data cleaning: Putting violations into context. ICDE 2013: 458-469 - [c38]George Beskales, Ihab F. Ilyas, Lukasz Golab, Artur Galiullin:
On the relative trust between inconsistent data and inaccurate constraints. ICDE 2013: 541-552 - [c37]Michele Dallachiesa, Amr Ebaid, Ahmed Eldawy, Ahmed K. Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani, Nan Tang:
NADEEF: a commodity data cleaning system. SIGMOD Conference 2013: 541-552 - [c36]David J. DeWitt, Ihab F. Ilyas, Jeffrey F. Naughton, Michael Stonebraker:
We are drowning in a sea of least publishable units (LPUs). SIGMOD Conference 2013: 921-922 - 2012
- [j20]George Beskales, Gautam Das, Ahmed K. Elmagarmid, Ihab F. Ilyas, Felix Naumann, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang:
The data analytics group at the qatar computing research institute. SIGMOD Rec. 41(4): 33-38 (2012) - [c35]Jeffrey Pound, Alexander K. Hudek, Ihab F. Ilyas, Grant E. Weddell:
Interpreting keyword queries over web knowledge bases. CIKM 2012: 305-314 - [c34]Amr El-Helw, Mina H. Farid, Ihab F. Ilyas:
Just-in-time information extraction using extraction views. SIGMOD Conference 2012: 613-616 - [i4]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
- [b2]Ihab F. Ilyas, Mohamed A. Soliman:
Probabilistic Ranking Techniques in Relational Databases. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00718-7 - [j19]Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas:
Guided data repair. Proc. VLDB Endow. 4(5): 279-289 (2011) - [c33]Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinenghi, Marco Tagliasacchi:
Ranking with uncertain scoring functions: semantics and sensitivity measures. SIGMOD Conference 2011: 805-816 - [i3]Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas:
Guided Data Repair. CoRR abs/1103.3103 (2011) - 2010
- [j18]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) - [j17]Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb:
Building Ranked Mashups of Unstructured Sources with Uncertain Information. Proc. VLDB Endow. 3(1): 826-837 (2010) - [j16]Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell:
QUICK: Expressive and Flexible Search over Knowledge Bases and Text Collections. Proc. VLDB Endow. 3(2): 1573-1576 (2010)