Fei Chiang - McMaster Experts

Affiliations

DeGroote School of Business, McMaster University
Faculty of Engineering, McMaster University
Member, McMaster Institute for Research on Aging (MIRA), McMaster University
Member, McMaster Digital Transformation Research Centre, DeGroote School of Business
Associate Professor, Computing and Software, Faculty of Engineering

Scholarly Activity in McMaster Experts

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selected scholarly activity

chapters
- Discovery of Keys for Graphs. Lecture Notes in Computer Science. 202-208. 2022
conferences
- Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability. 2023 IEEE International Conference on Big Data (BigData). 1803-1813. 2023
- Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning. 2023 IEEE Transportation Electrification Conference & Expo (ITEC). 2023
- Inconsistency Detection with Temporal Graph Functional Dependencies. Proceedings - International Conference on Data Engineering. 464-476. 2023
- Efficient Action Recognition Using Confidence Distillation. Proceedings - International Conference on Pattern Recognition. 3362-3369. 2022
- Confidence Bounded Replica Currency Estimation. Proceedings of the ACM SIGMOD International Conference on Management of Data. 730-743. 2022
- Discovery of Temporal Graph Functional Dependencies. Proceedings of the 30th ACM International Conference on Information & Knowledge Management. 3348-3352. 2021
- Preserving diversity in anonymized data. Advances in Database Technology - EDBT. 511-516. 2021
- Quantifying duplication to improve data quality. Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, CASCON 2017. 272-278. 2020
- CurrentClean. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2917-2920. 2019
- CurrentClean: Spatio-Temporal Cleaning of Stale Data. Proceedings - International Conference on Data Engineering. 172-183. 2019
- Restoring Consistency in Ontological Multidimensional Data Models via Weighted Repairs. Procedia Computer Science. 1085-1094. 2019
- PACAS: Privacy-Aware, Data Cleaning-as-a-Service. 2018 IEEE International Conference on Big Data (Big Data). 1023-1030. 2018
- Contextual Data Cleaning. 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW). 21-24. 2018
- FastofD: Contextual data cleaning with ontology functional dependencies. Advances in Database Technology - EDBT. 694-697. 2018
- Privacy aware web services in the cloud. 2017 IEEE Conference on Communications and Network Security (CNS). 458-466. 2017
- Efficient Discovery of Ontology Functional Dependencies.. CIKM. 1847-1856. 2017
- Refining Duplicate Detection for Improved Data Quality.. TDDL/MDQual/Futurity@TPDL. 2017
- PARC. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 2433-2436. 2016
- A Data Quality Framework for Customer Relationship Analytics. Lecture Notes in Computer Science. 366-378. 2015
- Towards a Unified Framework for Data Cleaning and Data Privacy. Lecture Notes in Computer Science. 359-365. 2015
- CONDOR. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. 2087-2089. 2014
- Continuous data cleaning. Proceedings - International Conference on Data Engineering. 244-255. 2014
- Models for Distributed, Large Scale Data Cleaning. Lecture Notes in Computer Science. 369-380. 2014
- An Algebraic Approach Towards Data Cleaning. Procedia Computer Science. 50-59. 2013
- AutoDict: Automated Dictionary Discovery. Proceedings - International Conference on Data Engineering. 1277-1280. 2012
- Automated dictionary discovery for the online marketplace. Proceedings of the 2012 iConference. 421-422. 2012
- Active repair of data quality rules. ICIQ 2011 - Proceedings of the 16th International Conference on Information Quality. 174-188. 2011
- A unified model for data and constraint repair. Proceedings - International Conference on Data Engineering. 446-457. 2011
- An xml index advisor for DB2. Proceedings of the ACM SIGMOD International Conference on Management of Data. 1267-1270. 2008
- XML Index Recommendation with Tight Optimizer Coupling. Proceedings - International Conference on Data Engineering. 833-+. 2008
- Seeking stable clusters in the blogosphere. 33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings. 806-817. 2007
journal articles
- Mining Keys for Graphs. Data & Knowledge Engineering. 150:102274-102274. 2024
- Data Anonymization With Diversity Constraints. IEEE Transactions on Knowledge and Data Engineering. 35:3603-3618. 2023
- Contextual Data Cleaning with Ontology Functional Dependencies. Journal of Data and Information Quality. 14:1-26. 2022
- From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization. Transfusion. 62:87-99. 2022
- A decision integration strategy for short-term demand forecasting and ordering for red blood cell components. Operations Research for Health Care. 29:100290-100290. 2021
- Privacy-aware data cleaning-as-a-service. Information Systems. 94:101608-101608. 2020
- Ontology-based entity matching in attributed graphs. Proceedings of the VLDB Endowment. 12:1195-1207. 2019
- InfoClean. Journal of Data and Information Quality. 9:1-26. 2017
- Efficient Discovery of Ontology Functional Dependencies. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. Part F131841:1847-1856. 2017
- Unifying Data and Constraint Repairs. Journal of Data and Information Quality. 7:1-26. 2016
- Data Driven Discovery of Attribute Dictionaries. Lecture Notes in Computer Science. 9630:69-96. 2016
- Combining quantitative and logical data cleaning. Proceedings of the VLDB Endowment. 9:300-311. 2015
- Repairing integrity rules for improved data quality. International Journal of Information Quality. 3:273-273. 2014
- Framework for evaluating clustering algorithms in duplicate detection. Proceedings of the VLDB Endowment. 2:1282-1293. 2009
- Discovering data quality rules. Proceedings of the VLDB Endowment. 1:1166-1177. 2008
preprints