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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

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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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