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DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research PowerPoint PPT Presentation


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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

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DB/IR Day, Fall 2006 NYU, Stern Center for Digital Economy Research

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Db ir day fall 2006 nyu stern center for digital economy research

DB/IR ResearchOperations and Information Management DepartmentUniversity of Pennsylvania, The Wharton School

DB/IR Day, Fall 2006

NYU, Stern Center for Digital Economy Research


Research projects

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


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