DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research
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DB/IR Research Operations and Information Management Department University of Pennsylvania, The Wharton School DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research
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DB/IR Research Operations and Information Management Department University of Pennsylvania, The Wharton School. DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research. Research projects. Data integration (Balaji Padmanabhan) imputation methods for addressing data quality - PowerPoint PPT Presentation
Transcript of DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research
DB/IR ResearchOperations and Information Management Department
University of Pennsylvania, The Wharton School
DB/IR Day, Fall 2006NYU, Stern Center for Digital Economy Research
Research projects• Data integration (Balaji Padmanabhan)
– imputation methods for addressing data quality– mining incomplete data
• Distributed IR (Kartik Hosanagar)– decision-theoretic approaches to source selection and query termination– stochastic NLP: completeness v. response time
• Graph models (Shawndra Hill)– object identification and de-duplication– efficient storage of dynamic graphs
• Numerical algorithms for large datasets (Chris Lee)– accelerated algorithms for computing PageRank– tree-based methods for censored/survival data
• Text mining (Steven Kimbrough, Thomas Lee)– schema learning from regulatory documents– logic programming for ontology induction
