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2020 – today
- 2024
[j12]Morteza Alipourlangouri
, Fei Chiang:
Mining Keys for Graphs. Data Knowl. Eng. 150: 102274 (2024)- [c32]Jongjun Park, Akanksha Nehete, Tammy Zeng, Fei Chiang:
A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]. VLDB Workshops 2024 - 2023
- [j11]Mostafa Milani, Yu Huang, Fei Chiang:
Data Anonymization With Diversity Constraints. IEEE Trans. Knowl. Data Eng. 35(4): 3603-3618 (2023) - [c31]Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen Veldhuis:
Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability. IEEE Big Data 2023: 1803-1813 - [c30]Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Inconsistency Detection with Temporal Graph Functional Dependencies. ICDE 2023: 464-476 - 2022
- [j10]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) - [c29]Morteza Alipour Langouri, Fei Chiang:
Discovery of Keys for Graphs. DaWaK 2022: 202-208 - [c28]Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng:
Efficient Action Recognition Using Confidence Distillation. ICPR 2022: 3362-3369 - [c27]Yu Sun, Zheng Zheng, Shaoxu Song, Fei Chiang:
Confidence Bounded Replica Currency Estimation. SIGMOD Conference 2022: 730-743 - [i7]Morteza Alipour Langouri, Fei Chiang:
Discovery of Keys for Graphs [Extended Version]. CoRR abs/2205.15547 (2022) - 2021
- [c26]Levin Noronha, Fei Chiang:
Discovery of Temporal Graph Functional Dependencies. CIKM 2021: 3348-3352 - [c25]Mostafa Milani, Yu Huang, Fei Chiang:
Preserving Diversity in Anonymized Data. EDBT 2021: 511-516 - [i6]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) - [i5]Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Temporal Graph Functional Dependencies - Technical Report. CoRR abs/2108.08719 (2021) - [i4]Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng:
Efficient Action Recognition Using Confidence Distillation. CoRR abs/2109.02137 (2021) - 2020
- [j9]Yu Huang, Mostafa Milani, Fei Chiang:
Privacy-aware data cleaning-as-a-service. Inf. Syst. 94: 101608 (2020) - [i3]Mostafa Milani, Yu Huang, Fei Chiang:
Diversifying Anonymized Data with Diversity Constraints. CoRR abs/2007.09141 (2020) - [i2]Yu Huang, Mostafa Milani, Fei Chiang:
Privacy-Aware Data Cleaning-as-a-Service (Extended Version). CoRR abs/2008.00368 (2020)
2010 – 2019
- 2019
- [j8]Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi:
Ontology-based Entity Matching in Attributed Graphs. Proc. VLDB Endow. 12(10): 1195-1207 (2019) - [c24]Zheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, Mostafa Milani:
CurrentClean: Interactive Change Exploration and Cleaning of Stale Data. CIKM 2019: 2917-2920 - [c23]Mostafa Milani, Zheng Zheng, Fei Chiang:
CurrentClean: Spatio-Temporal Cleaning of Stale Data. ICDE 2019: 172-183 - [c22]Enamul Haque, Fei Chiang:
Restoring Consistency in Ontological Multidimensional Data Models via Weighted Repairs. KES 2019: 1085-1094 - 2018
- [j7]Fei Chiang, Dhruv Gairola:
InfoClean: Protecting Sensitive Information in Data Cleaning. ACM J. Data Inf. Qual. 9(4): 22:1-22:26 (2018) - [c21]Yu Huang, Mostafa Milani, Fei Chiang:
PACAS: Privacy-Aware, Data Cleaning-as-a-Service. IEEE BigData 2018: 1023-1030 - [c20]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 - [c19]Morteza Alipour Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Contextual Data Cleaning. ICDE Workshops 2018: 21-24 - 2017
- [c18]Yu Huang, Fei Chiang, Albert Maier, Martin Petitclerc, Yannick Saillet, Damir Spisic, Calisto Zuzarte:
Quantifying duplication to improve data quality. CASCON 2017: 272-278 - [c17]Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Efficient Discovery of Ontology Functional Dependencies. CIKM 2017: 1847-1856 - [c16]Farshad Rahimi Asl, Fei Chiang, Wenbo He, Reza Samavi:
Privacy aware web services in the cloud. CNS 2017: 458-466 - [c15]Yu Huang, Fei Chiang:
Refining Duplicate Detection for Improved Data Quality. TDDL/MDQual/Futurity@TPDL 2017 - 2016
- [j6]Fei Chiang, Siddharth Sitaramachandran:
Unifying Data and Constraint Repairs. ACM J. Data Inf. Qual. 7(3): 9:1-9:26 (2016) - [j5]Fei Chiang, Periklis Andritsos, Renée J. Miller:
Data Driven Discovery of Attribute Dictionaries. Trans. Comput. Collect. Intell. 21: 69-96 (2016) - [c14]Dejun Huang, Dhruv Gairola, Yu Huang, Zheng Zheng, Fei Chiang:
PARC: Privacy-Aware Data Cleaning. CIKM 2016: 2433-2436 - [i1]Sridevi Baskaran, Alexander Keller, Fei Chiang, Jaroslaw Szlichta:
Efficient Discovery of Ontology Functional Dependencies. CoRR abs/1611.02737 (2016) - 2015
- [j4]Nataliya Prokoshyna, Jaroslaw Szlichta, Fei Chiang, Renée J. Miller, Divesh Srivastava:
Combining Quantitative and Logical Data Cleaning. Proc. VLDB Endow. 9(4): 300-311 (2015) - [c13]Yu Huang, Fei Chiang:
Towards a Unified Framework for Data Cleaning and Data Privacy. WISE (2) 2015: 359-365 - [c12]Fei Chiang, Siddharth Sitaramachandran:
A Data Quality Framework for Customer Relationship Analytics. WISE (2) 2015: 366-378 - 2014
- [j3]Fei Chiang, Yu Wang:
Repairing integrity rules for improved data quality. Int. J. Inf. Qual. 3(4): 273-297 (2014) - [c11]Joshua Segeren, Dhruv Gairola, Fei Chiang:
CONDOR: A System for CONstraint DiscOvery and Repair. CIKM 2014: 2087-2089 - [c10]Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Renée J. Miller:
Continuous data cleaning. ICDE 2014: 244-255 - [c9]Vincent J. Maccio, Fei Chiang, Douglas G. Down:
Models for Distributed, Large Scale Data Cleaning. PAKDD Workshops 2014: 369-380 - 2013
- [c8]Ridha Khédri, Fei Chiang, Khair Eddin Sabri:
An Algebraic Approach Towards Data Cleaning. EUSPN/ICTH 2013: 50-59 - 2012
- [b1]Fei Chiang:
Data Quality Through Active Constraint Discovery and Maintenance. University of Toronto, Canada, 2012 - [c7]Fei Chiang, Periklis Andritsos, Erkang Zhu, Renée J. Miller:
AutoDict: Automated Dictionary Discovery. ICDE 2012: 1277-1280 - [c6]Fei Chiang, Renée J. Miller:
Automated dictionary discovery for the online marketplace. iConference 2012: 421-422 - 2011
- [c5]Fei Chiang, Renée J. Miller:
A unified model for data and constraint repair. ICDE 2011: 446-457 - [c4]Fei Chiang, Renée J. Miller:
Active repair of data quality rules. ICIQ 2011
2000 – 2009
- 2009
- [j2]Oktie Hassanzadeh, Fei Chiang, Renée J. Miller, Hyun Chul Lee:
Framework for Evaluating Clustering Algorithms in Duplicate Detection. Proc. VLDB Endow. 2(1): 1282-1293 (2009) - 2008
- [j1]Fei Chiang, Renée J. Miller:
Discovering data quality rules. Proc. VLDB Endow. 1(1): 1166-1177 (2008) - [c3]Iman Elghandour, Ashraf Aboulnaga, Daniel C. Zilio, Fei Chiang, Andrey Balmin, Kevin S. Beyer, Calisto Zuzarte:
XML Index Recommendation with Tight Optimizer Coupling. ICDE 2008: 833-842 - [c2]Iman Elghandour, Ashraf Aboulnaga, Daniel C. Zilio, Fei Chiang, Andrey Balmin, Kevin S. Beyer, Calisto Zuzarte:
An xml index advisor for DB2. SIGMOD Conference 2008: 1267-1270 - 2007
- [c1]Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. Tompa:
Seeking Stable Clusters in the Blogosphere. VLDB 2007: 806-817
Coauthor Index
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