Faculty profile
Ihab Ilyas
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Research
Latest funding
- $205,000
Scalable Cleaning, Integration and Analysis of Structured and Semi-Structured Inconsistent Data
NSERC · 2019 · Principal investigator
- $324,400
End-to-end Extraction and Curation of Large RDF Repositories_x000d_
NSERC · 2019 · Principal investigator
- $1,000,000
NSERC/Thomson Reuters Industrial Research Chair in Data Cleaning
NSERC · 2017 · Principal investigator
Scalable Cleaning, Integration and Analysis of Structured and Semi-Structured Inconsistent Data
Principal investigators: Ilyas, Ihab
Keywords: Data Augmentation and Enrichment; Data Cleaning; Data Fusion; Data Integration; Data Repair; Error Detection; Missing value imputation; Outlier detection; Probabilistic Inference; Uncertain Data
End-to-end Extraction and Curation of Large RDF Repositories_x000d_
Principal investigators: Ilyas, Ihab
NSERC/Thomson Reuters Industrial Research Chair in Data Cleaning
Principal investigators: Ilyas, Ihab IF
Cleaning and Analysis of Large Uncertain and Inconsistent Data Sources
Principal investigators: Ilyas, Ihab
Cleaning and Analysis of Large Uncertain and Inconsistent Data Sources
Principal investigators: Ilyas, Ihab
Probabilistic retrieval and cleaning of large uncertain and inconsistent databases
Principal investigators: Ilyas, Ihab
Effective retrieval and cleaning for probabilistic databases
Principal investigators: Ilyas, Ihab
Continuous and Adaptive Optimization in Query Processing
Principal investigators: Ilyas, Ihab
Efficient and adaptive ranked retrieval in database systems
Principal investigators: Ilyas, Ihab
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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